Table of Contents

• What is point cloud data?

• Information gap issues on construction sites

• Closing information gaps by sharing point cloud data

• Remote construction management enabled by cloud use

• Why this leads to fewer construction errors

• Future of point cloud utilization and key points for adoption

• Recommended simple surveying with LRTK

• FAQ

In recent years, digital transformation (DX) in construction site management has become an important theme in the industry. In particular, if point cloud data collected on site is shared instantly via the cloud, it can close the information gap between the site and the office, leading to significant efficiency gains and improved construction quality. Using three-dimensional point cloud data for as-built management (verifying whether construction matches the design), tracking construction progress, and reporting to stakeholders brings unprecedented accuracy and speed. This article explains the effects of resolving information gaps by sharing point cloud data and how using the cloud can reduce construction errors. Finally, we introduce simple surveying using LRTK, which enables anyone to easily measure and share point clouds.

What is point cloud data?

Point cloud data are digital data that represent the surface of objects or terrain as many points (points) in three-dimensional coordinates (X, Y, Z). They are acquired by laser scanners (3D laser surveying instruments), photogrammetry from drones, and more recently by LiDAR (light-based ranging sensors) built into smartphones and tablets, allowing the shape of the target to be recorded in 3D as-is. Each point can carry not only positional coordinate information but also color information, and because a collection of points can reproduce the site like a photograph, point clouds form the basis for building a digital twin (a digital replica of the real-world space).

Complex shapes and dimensions that are difficult to grasp from conventional two-dimensional drawings or photos can be captured with high accuracy using point cloud data. Therefore, in construction and civil engineering fields, point clouds are widely used to create detailed current-condition terrain models, verify as-built conditions after construction, and calculate quantities. For example, creating a wide-area terrain point cloud model with drone aerial photography before starting work can greatly shorten pre-construction surveying time. Also, performing 3D scans at each construction stage and comparing them with the design 3D model allows checking for positional or shape deviations of structures, aiding quality control. Such 3D point clouds can digitize the actual site exhaustively, making them a key technology expected to lead the next generation of construction management.

Information gap issues on construction sites

A frequent problem for improving site productivity and quality is the information gap between the site and other stakeholders. Conditions at a construction site change daily, and if the latest information is not sufficiently shared with the office, client, or subcontractors, or if transmission is delayed, work can proceed without noticing discrepancies or defects from the plan. Such miscommunications or information shortfalls cause rework, construction mistakes, and disputes due to differing understandings.

Traditionally, information sharing for construction sites centered on paper drawings, photos, and written reports. However, 2D drawings and photos alone cannot fully convey site conditions, and interpretations can differ among recipients or important points can be overlooked. For example, content reported orally or via a simple sketch by a site representative may not be correctly visualized by someone in the office, leading to incorrect decisions. Misunderstandings in technical terms or misreading complex drawings can also cause communication gaps that create discrepancies between actual site conditions and plans. Leaving these information gaps unaddressed can turn small misunderstandings into major construction errors, causing schedule delays and cost overruns.

Closing information gaps by sharing point cloud data

So what changes if three-dimensional point cloud data is shared among all stakeholders? The greatest effect is that it fills the information gap between the site and the office, enabling a common “site understanding.” If point cloud data collected on site is uploaded to the cloud, engineers and clients in remote offices can view the latest conditions in 3D. Details that are hard to convey in text or flat drawings can be checked and measured directly on the point cloud, allowing accurate sharing of site conditions based on objective data. This enables “data-driven” construction management without relying on subjective reports.

Immediate sharing of point cloud data enables real-time coordination between site and office in the following ways:

• Immediate verification and issuing of instructions: As soon as site staff finish a laser scan, office personnel or supervising engineers can check the point cloud. If inconsistencies with the design or problem areas are found, they can immediately instruct the site by phone or chat to perform additional measurements or corrections. There’s no need to wait until data processing is completed the next day or later, so adjustments can be made on the spot, reducing ad-hoc rework.

• Sharing 3D conditions with all stakeholders: Point cloud data in the cloud can be shared with clients, designers, and subcontractors via links. Because all stakeholders can view the same “3D view of the site” during meetings, opinions from experts in remote locations can be reflected on the spot. This reduces the frequency of in-person inspections and regular meetings while enabling high-quality decision-making. Even when geographically dispersed, it creates a state where the whole team can overview the site together.

• Always aligning recognition with the latest data: Continuously acquiring and sharing point cloud data eliminates temporal information gaps. Progress that traditionally relied on oral reports or daily logs becomes instantly visible with 3D point clouds. Evaluating the site based on data rather than someone’s subjective account reduces the chance of discrepancies like “what we heard is different from reality.” The state of always sharing the latest site data itself is the key to fundamentally resolving information gaps.

Remote construction management enabled by cloud use

Cloud use further enhances the effectiveness of point cloud data sharing. If large point cloud datasets are stored in the cloud, site offices, headquarters, subcontractors, and clients can all access the same data over the internet. Platforms have emerged that allow viewing and manipulating 3D point clouds in a web browser without dedicated software, so you can virtually check the site from anywhere regardless of PC performance or location.

In practice, there are cases where cloud use has realized “construction management without visiting the site.” In a large-scale project, a BIM model of the structure, point cloud data from construction, and even 360-degree camera footage were centrally shared in the cloud, allowing continuous remote monitoring of a distant site from headquarters in Tokyo. Staff could grasp the latest construction status in 3D from the office and immediately issue instructions or make decisions as needed. This system, which enables real-time understanding and discussion of the site across geographic distances, was highly evaluated and even received awards as a case of industry digitalization. Centralized information management in the cloud reduces travel time and business trip costs while enabling timely decision-making and rapid consensus building.

Additionally, sharing point cloud data improves explanations to clients and internal communication quality. Showing a 3D reproduction of the actual site is more persuasive and easier to understand intuitively than reporting with text or flat drawings. For example, overlaying the completed BIM model with the current point cloud makes progress clear at a glance, showing “this is how it is now and this is how it will be.” This smooths alignment with clients, preventing misunderstandings or complaints due to insufficient explanations. The 3D site information shared in the cloud becomes a common language among stakeholders and contributes to smoother project operations.

Why this leads to fewer construction errors

When information gaps are eliminated and everyone can grasp the actual site via the cloud, the result is a reduction in construction errors. Here are the concrete reasons.

First, point cloud data enables early detection of discrepancies between design and site. By performing regular point cloud measurements during construction and comparing them to design data, dimensional errors and position shifts can be detected at an early stage. Taking corrective measures early prevents serious mistakes later in the process, such as “the foundation position was wrong” or “pipes interfered.” Advanced quality inspection using point cloud data can significantly reduce the occurrence of rework caused by human error.

Next, shared point clouds unify recognition and thus reduce mistakes. As mentioned earlier, because everyone can discuss while viewing the same 3D information, instruction errors and communication omissions based on misunderstandings are less likely. Miscommunication like “I said, you didn’t hear” decreases, and mismatches in image among designers, constructors, and clients are resolved, greatly reducing disputes during construction. In coordinating schedules with subcontractors, if you show progress three-dimensionally with point clouds and say, “This much is complete, so please proceed to the next step,” each company can proceed with a common understanding, preventing rework and omissions caused by miscommunication.

Furthermore, point cloud data allows objective checks that do not rely on the intuition of experienced workers. For example, using augmented reality (AR) technology that overlays point clouds or design models on a tablet camera feed, you can visually confirm deviations between as-built conditions and the design on the spot. Checks that previously depended on veteran experience—such as foundation positions or rebar inspection—become quickly recognizable as deviations in AR, enabling anyone to confirm efficiently. One system overlaid planned pipe and structure positions on the surrounding terrain point cloud in AR, allowing on-site verification of correct placement, and reported a large reduction in inspection time. By reducing oversights and enabling early detection and correction of issues, point cloud data sharing proves effective.

Thus, using point cloud data to accurately share and verify site reality helps remove the causes of construction errors in advance. As a result, rework and touch-ups decrease, contributing to improved quality and productivity.

Future of point cloud utilization and key points for adoption

The attention to point cloud utilization in the construction industry stems not only from technological advances but also from broader industry trends. From fiscal 2023, the Ministry of Land, Infrastructure, Transport and Tourism has in principle applied BIM/CIM (use of three-dimensional models) for directly administered projects, accelerating industry digitalization. In addition to chronic labor shortages, the “2024 problem”—strengthened overtime regulations due to the 2024 work-style reform-related laws—makes productivity improvement and labor saving urgent issues. In this context, point cloud utilization, which can shorten work time and improve quality, is expected to be a highly effective solution. In fact, there are reports such as “surveying that used to take two days was completed in 0.5 days with point cloud use,” and point cloud use is likely to become an increasingly central pillar of on-site DX.

So how should your company introduce point cloud data sharing on its sites? Here are several points to ensure successful adoption.

• Clarify purpose and start small: First, clarify what you will use point clouds for. Is it for as-built management, quantity calculation, or remote progress sharing? It’s recommended to pilot on a small scale according to the purpose. Rather than rolling out across all sites at once, try a pilot on a single project or part of a process and verify the effects. For example, “measure only the embankment area with point clouds at a site with earthwork quantity issues”—start small and accumulate successful experiences to gain internal understanding and cooperation.

• Train site staff: Human resource development is essential to institutionalize new technologies. However, current point cloud measurement tools are increasingly intuitive and easier to operate than before. Basic skills such as operating smartphone apps and uploading data to the cloud can be learned in short training sessions. Letting staff actually try the tools and experience that “it’s convenient” and “it’s simple” reduces resistance on site and smooths adoption.

• Use the cloud and establish data management rules: Point cloud data is not useful if it’s only acquired; you must consider how to manage and share it afterward. Point clouds that remain on a local PC are a wasted asset. You can store data on an internal NAS (shared server), but if possible try using a cloud service. Uploading to the cloud allows internal and external stakeholders to view data whenever they want. In the early stages, use free or trial versions and upload small point cloud datasets to try internal sharing. Once people experience the convenience of “virtually experiencing the site in 3D from their desk,” motivation for wider use will increase. Also, to leverage data as a long-term asset, establish storage rules and version management for point cloud data.

By following these points and introducing point cloud sharing step by step, you will greatly contribute to workplace reform and quality improvement on site. Point cloud utilization is expected to become standard practice. Gaining experience early and accumulating know-how will strengthen your company’s competitiveness.

Recommended simple surveying with LRTK

Even if you understand the usefulness of point cloud sharing, you may worry that “preparing an expensive 3D laser scanner or training specialized personnel is difficult.” The latest simple point cloud measurement tools dramatically lower that barrier. One example is simple surveying using the LRTK series.

LRTK Phone is a small device that attaches to a smartphone; by simply holding up a smartphone and walking around, site staff can instantly acquire high-precision 3D point cloud data with positioning information. Combining with a smartphone’s built-in LiDAR sensor achieves surveying-equipment-level precision. Acquired point clouds are automatically aligned on the spot, enabling immediate distance and volume measurements. The ability to complete point cloud measurement that used to require specialized surveyors or heavy equipment using only a smartphone is truly revolutionary.

The LRTK lineup also includes lightweight stationary 3D scanners and tablet-integrated surveying devices, offering products suited to various site uses. These next-generation devices are lower cost and easier to handle than conventional equipment, making point cloud utilization realistic even for small- to medium-sized sites. In addition, a cloud service called LRTK Cloud is provided, allowing point cloud data acquired on site to be shared over the internet as-is. This integrated platform makes it possible to discuss the same 3D data between site and office or check via AR on a tablet screen.

By using LRTK, anyone can easily incorporate point cloud measurement and sharing into daily operations without specialized technicians or expensive equipment. If you want to expand point cloud use within your company, please also visit the [LRTK official site](https://www.lrtk.lefixea.com/). You will find case studies of on-site DX using simple surveying tools like LRTK and introduction plans that can help you take the next step. LRTK is a solution that strongly supports digitalization in the construction industry and will contribute to closing information gaps and reducing construction errors on your sites.

FAQ

Q: What is point cloud data? A: It is three-dimensional data composed of countless points obtained by laser measurement or photogrammetry. It digitally records the site shape as-is, with each point including position (coordinates). It is characterized by the ability to record complex current conditions in detail that cannot be captured in drawings.

Q: What does “information gap” mean in construction? A: It refers to the discrepancy between what is actually happening on site and the information as recognized by those with whom it has been shared. It indicates a state where the site’s latest situation is not correctly conveyed to the office or other stakeholders or there is a time lag. Large gaps make it difficult to notice differences between plan and reality, increasing the risk of poor judgments and construction errors.

Q: Why does sharing point cloud data reduce construction errors? A: Because point cloud data allows all stakeholders to share accurate three-dimensional information of the site, eliminating differences in recognition. It enables early detection of discrepancies between design models and actual construction, preventing rework. Areas that are difficult to convey with oral explanations or 2D drawings become immediately understandable by viewing the point cloud, greatly reducing mistakes due to misunderstanding or oversight.

Q: Is it difficult to share point cloud data in the cloud? A: Recently, services that allow managing and viewing point clouds in the cloud have become plentiful, and you can easily check 3D data in a web browser without specialized software. Cloud services are designed to upload and render large point cloud files for fast display and sharing, so they are manageable without stress. There are also cases where point clouds are uploaded and shared from the site using mobile networks; with the right service, cloud integration can be smooth.

Q: Can point cloud measurement and utilization be done without expertise? A: Yes. Nowadays, anyone can easily measure point clouds using LiDAR installed in smartphones and tablets. In addition, affordable RTK-capable small devices that obtain high-precision positioning information have appeared. Combining these, site staff—not only skilled surveyors—can acquire point cloud data with centimeter-level accuracy (cm level accuracy, half-inch accuracy). Dedicated apps are intuitive, and users can become proficient with short training.