Table of Contents

• Introduction

• What Is Cloud Sharing of Point Cloud Data

• Traditional Issues: Rework Caused by Insufficient Information Sharing

• Benefits of Improved Work Efficiency through Cloud Sharing

• Preventing "This Isn't What I Expected" by Coordinating Information with Clients

• Expanded Uses of Point Clouds and Simple Surveying with Latest Technology

• Simple Surveying with LRTK

• Conclusion

• FAQ

Introduction

Recently, the construction industry has been moving toward digital workflows, and high-precision 3D measurement data known as point cloud data has attracted attention. Point cloud data obtained by laser scanning a site records the real-world space digitally as-is. By sharing this data in the cloud, all stakeholders can check the same "site truth" anytime, anywhere. In particular, using point cloud data for information coordination with the project owner (client) can prevent "this isn't what we expected" misunderstandings and bring unnecessary rework close to zero. This article explains the effects of improved work efficiency brought by cloud sharing of point cloud data and how smooth information sharing with clients can prevent rework.

What Is Cloud Sharing of Point Cloud Data

A point cloud is digital data that represents spaces such as buildings or terrain as an aggregation of countless points. Each point contains precise XYZ coordinates, and the collection of points reproduces real shapes much like a mosaic. To share point cloud data in the cloud means uploading the data to an internet cloud service so multiple people can view and use the 3D data online.

The main advantage of placing point cloud data in the cloud is the dramatic improvement in data accessibility. Point clouds that were previously managed as huge files on hard drives can be shared instantly with teams in remote offices or at other locations if uploaded to the cloud. Also, there are services that allow 3D viewer display via a browser without specialized software, so even nontechnical stakeholders including clients can intuitively check the as-built data.

Moreover, cloud platforms provide powerful server environments, so even large-capacity point cloud data that are hard to handle on a PC can be displayed and processed smoothly. For example, laser scan data comprising hundreds of millions of points can increasingly be operated smoothly by streaming only the required portions for display. In short, "cloud sharing of point cloud data" means putting rich, heavy 3D data on infrastructure in a way that anyone can use, creating a foundation for broad information dissemination.

Traditional Issues: Rework Caused by Insufficient Information Sharing

At conventional construction sites, various kinds of rework occurred due to insufficient information sharing. Measurements at the site were done manually with tape measures and drawings, making measurement errors and recording omissions likely. As a result, discrepancies between design drawings and actual site dimensions arose, and problems such as "components don't fit" or "positions are offset" were often discovered during construction, leading to rework.

There were also challenges in reaching agreement with the client. It is not easy to convey the finished appearance of a building or exterior solely with two-dimensional drawings. Even if a client appears to understand drawings on paper, they may later say "it looks different from my image" or "this isn't what I expected," resulting in demolition and rework of completed parts. Such gaps in perception go beyond mere communication failures and cause significant time and monetary losses.

Rework caused by lack of information sharing not only leads to schedule delays and additional costs but also to reduced customer satisfaction and loss of trust. Projects with a fixed handover deadline can see the entire schedule tightened when rework occurs, potentially resulting in penalties or contractual disputes. In other words, analog information sharing caused rework because things were "not communicated" or "not measured," which drastically reduced operational efficiency.

Benefits of Improved Work Efficiency through Cloud Sharing

So, what specific efficiency improvements can be expected by sharing point cloud data in the cloud? Here are some representative benefits of cloud usage.

• Immediate site checks from remote locations: If point cloud data acquired on site are uploaded to the cloud, designers and managers in remote offices can check the data immediately. For example, if a surveyor scans the site in the morning and shares it via the cloud, the head office design team can begin drawing revisions and quantity calculations using that data by the same afternoon. Without waiting for travel or shipping time, the project can proceed to the next stage, which is a significant efficiency gain.

• Centralized management to share the "latest": By centrally managing data in the cloud, the entire team can always access the most up-to-date information. If someone makes a design change based on point cloud data, that update can be shared in real time via the cloud. This prevents situations where drawings or survey data are distributed here and there via email attachments or USB sticks, eliminating confusion over "which version is the latest."

• Multiple users can use the data simultaneously: Point cloud data on the cloud can be viewed and manipulated by multiple users at the same time. Real-time collaboration—such as a site supervisor and a designer confirming problem areas on the same 3D data while on a call—is easy. This allows decisions to be made in online meetings without everyone having to gather on site, speeding up coordination.

• Reduction of re-surveys and rework: If questions arise, additional dimension checks or clash checks can be performed on the cloud-hosted point cloud data, reducing the need to dispatch personnel back to the site for re-measurement. Fully utilizing digitally acquired data minimizes the number of times teams need to "go to the site to check," reducing personnel movement and costs.

• Long-term use of data assets: Point cloud data accumulated in the cloud is useful for future renovations or maintenance planning. If you share as-built data within the company, it is easy to reference for similar projects or to compare past data with current conditions during remodeling years later. Accumulating data preserves experience and knowledge as company assets, contributing to long-term improvements in efficiency and quality.

By sharing point cloud data in the cloud as described above, the speed and accuracy of information transmission improve, eliminating unnecessary work and waiting time. As a result, overall project productivity increases, allowing resources to be allocated to quality improvement and safety management with more margin.

Preventing "This Isn't What I Expected" by Coordinating Information with Clients

Sharing point cloud data is powerful not only for internal efficiency but also for information coordination with clients. Clients often find it hard to accurately imagine the finished result from technical drawings and numbers alone, creating image gaps with designers. By sharing point cloud data and 3D models based on it with clients, the quality and speed of agreement formation improve dramatically.

For example, suppose you scan the interior of a building to obtain point cloud data before a renovation and overlay a new 3D plan onto it for the client to view in the cloud. The client, from home on a PC or tablet, can compare their home's current state and the post-renovation image three-dimensionally. Because concrete images like "the ceiling height will be about this" or "the view from the window will change like this" can be shared in advance, you can prevent mismatches where the client later says "it's different from what I expected."

Also, with point cloud data the client can freely move viewpoints to check areas of concern, making it easier to resolve small questions on the spot. The tangible experience that used to be available only at on-site briefings or model rooms can be shared in a virtual cloud space. This increases clients' sense of security and satisfaction and strengthens trust in the project.

Furthermore, regularly recording construction progress with point cloud scans and reporting to the client is effective. Showing the as-built shape step by step with 3D data allows the client to grasp the quality and progress in real time. Early discovery of issues is more likely than waiting for a final inspection after completion, which prevents major rework. Tight information coordination with clients shifts the process from "build and finish" to "build while continuously sharing," and becomes the key to approaching zero rework.

Expanded Uses of Point Clouds and Simple Surveying with Latest Technology

Even if you understand the importance of point cloud data, you may hesitate thinking "doesn't this require advanced equipment and expertise?" However, recent technological advances have brought forth easy 3D measurement methods that can be considered simple surveying.

For example, recent smartphones are equipped with LiDAR sensors, making 3D scans possible over small ranges without dedicated laser scanners that cost hundreds of thousands of yen. In addition, small high-precision GNSS receivers and drone surveying technologies have advanced, increasing opportunities to insource surveying tasks that previously required specialist contractors.

By combining these latest technologies, anyone can acquire detailed point cloud data on site and immediately share it in the cloud. In fact, all-in-one systems that perform centimeter-level positioning and point cloud measurement and even AR display using just a smartphone and small devices have appeared. This enables small and medium-sized construction companies and local builders to adopt the technology without strain and accelerate on-site DX (digital transformation).

Government initiatives such as i-Construction and CIM (Construction Information Modeling) are also promoting the use of 3D data, and this trend will likely become an industry standard. The era when you thought "it's too big for our scale" or "we need special skills to handle it" is coming to an end. By using affordable tools that realize simple surveying, an environment where everyone can benefit from point cloud data is being established.

Simple Surveying with LRTK

A representative example of the smartphone-based surveying solutions mentioned above is LRTK. LRTK is a device that attaches a high-precision GNSS module to a smartphone or tablet, enabling surveying and point cloud measurement—formerly requiring dedicated equipment—to be accomplished as a one-device-per-person solution.

With LRTK, anyone can easily perform centimeter-level positioning (half-inch accuracy) and 3D scanning, and upload the acquired data to the cloud on-site. For example, if you link LRTK with a smartphone app to scan terrain on site, accurate point cloud data can be generated within minutes. These surveyed points and point clouds are automatically plotted on a map screen in the cloud, so colleagues in the office or remote clients can view and check them via the web immediately.

Moreover, LRTK leverages high-precision on-site data to offer diverse functions such as AR projection of the finished image and marking (batter line layout) of design points onto the actual site. In other words, it is an all-in-one system that "measures," "records," "shares," and "shows" in a single device, and it is compact and lightweight for easy transport. Even without survey vehicles equipped with dedicated instruments or large survey teams, LRTK enables necessary measurements and information sharing to be completed.

Introducing simple surveying with LRTK makes cloud sharing of point cloud data even more accessible. Without relying on expensive equipment or specialist skills, you can digitalize and share the reality of the site and fully realize the aforementioned efficiency improvements and rework prevention effects. If your company is unsure where to start with on-site DX, consider trying practical, easy-to-use tools like LRTK first.

Conclusion

Cloud sharing of point cloud data and information coordination with clients are the keys to dramatically improving productivity and quality in construction projects. Historically, many reworks arose from miscommunication and misunderstandings on site, but by sharing accurate 3D data and achieving agreement, you can minimize occurrences of rework. Establishing a system where everyone can access the latest information via a cloud platform raises the speed and efficiency of the entire team beyond time and distance constraints.

Fortunately, practical and affordable surveying and point-clouding tools such as LRTK have emerged, making it much easier and less costly to achieve such DX than before. Even without large investments, you can experience the effects by introducing digital information sharing starting from familiar sites. Aim for improved work efficiency and zero rework, and take on the challenge of cloud sharing point cloud data and leveraging the latest technologies.

FAQ (Frequently Asked Questions)

Q: Do I need special software to share point cloud data in the cloud? A: Not necessarily; you don't always need expensive dedicated software. Recently, browser-based point cloud viewers and cloud services have become abundant, allowing you to have stakeholders view uploaded point cloud data via a URL. Cloud platforms that don't require you to host your own server are available, so you can start easily even without an IT department.

Q: Will it be difficult for clients to view point cloud data? A: While point cloud data itself is technical, clients can intuitively check it on a specialized viewer. For example, providing an interface that allows 360-degree inspection with mouse controls or zooming into any location lets clients experience their building data almost like a game. Additionally, project staff can share their screens and explain as needed, making it easy for clients to understand current conditions and plans.

Q: Is it a problem to upload large point cloud files to the cloud? A: Point cloud files can indeed be large, but many cloud services provide unlimited storage or high-performance servers that mitigate concerns about capacity and processing speed. Putting data in the cloud prevents loading down local PCs and allows smooth viewing of large datasets. However, basic precautions such as being mindful of mobile data usage when viewing on cellular networks are still necessary.

Q: Can non-veterans handle 3D scanning and point cloud sharing? A: Yes; modern simple surveying tools are designed to be intuitive. For devices linked to smartphone apps, anyone can perform surveying and data sharing by following on-screen instructions. Many complex settings and adjustments are automated, so even junior staff with limited expertise can effectively use them on site. In fact, digital-native generations often adopt these technologies quickly and actively promote on-site DX.

Q: I'm worried about data leaks if point cloud data are stored in the cloud. Is security okay? A: Cloud service providers implement advanced security measures such as data encryption and access permission settings. You can restrict sharing to within the company or issue password-protected viewing links. In some cases, transferring data via USB sticks or email attachments poses a higher risk of loss or leakage. By choosing a reliable cloud platform and enforcing internal access controls, you can use point cloud data securely.

Q: I want to introduce new technology but am concerned about costs. Can I test it partially? A: It's recommended to pilot on small projects or specific workflows. For example, have one internal team use tools like LRTK for point cloud scanning and cloud sharing to validate effectiveness. This approach keeps initial investment low while demonstrating usefulness on site, making it easier to gain internal buy-in. Many recent tools are cheaper than traditional equipment and may be available for rental or demo use, so consider introducing them within a manageable scope.