Trimmed 3D Net Model for Construction Site Mobile Guidance
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Solution Overview
Problem
Construction site management systems face challenges in efficiently managing complex data volumes and user interfaces, particularly with large and detailed 3D models, which overwhelm mobile devices and require optimized data transmission and adaptive user instructions based on skill levels and context.
Innovation Solution
A construction site management system that processes full-detail 3D models on a server to provide a 'trimmed' model focused on relevant areas for individual users, using mobile devices with sensors for orientation and adapting instruction detail and complexity based on user competence levels, and incorporating learning mechanisms to optimize data transmission and user guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a full-detail 3D model of the construction site is transmitted to mobile devices, then the model provides complete information for navigation and task location, but the data volume reaches the limits of signalling technology and presentational capabilities of mobile devices
Solution Approach 1:
The system applies local quality by providing different levels of model detail to different users based on their specific work packages and locations. Each user receives a customized view of the 3D model showing only the areas and elements relevant to their current tasks, rather than transmitting the complete full-detail model to all devices. This resolves the contradiction by maintaining information completeness for each user's needs while significantly reducing overall data transmission volume.
Solution Approach 2:
The construction site model is segmented into multiple work packages, each associated with specific areas and tasks. The system transmits only the relevant segments of the model to each user's device based on their assigned work package. This segmentation approach ensures that each user receives complete information for their specific tasks while avoiding transmission of unrelated model data, thus balancing information completeness with data volume reduction.
2Ease of operation
If detailed instructions are provided to all users, then novice users benefit from comprehensive guidance, but experienced users are overwhelmed with unnecessary information
Solution Approach 1:
The system implements dynamic adaptation of instruction detail based on each user's competence level, which is determined through testing and performance tracking. The instruction set is not static but dynamically adjusted to provide comprehensive guidance to novice users while delivering concise, task-specific instructions to experienced users. This dynamic approach resolves the contradiction by tailoring information complexity to match each user's operational needs and skill level.
Solution Approach 2:
The system changes the parameter of instruction detail level based on user competence assessment results. Users with lower competence scores receive more detailed, step-by-step instructions with additional explanatory content, while users with higher competence scores receive streamlined instructions focusing only on critical task information. This parameter adjustment resolves the contradiction between providing sufficient guidance and avoiding information overload.
3Reliability
If the system provides comprehensive work package information including all instructions, tips, and warnings, then users have access to all necessary task information, but the information overload reduces efficiency for experienced users
Solution Approach 1:
The system applies local quality by customizing the information content of work packages according to each user's competence level and specific task requirements. Rather than providing identical comprehensive information to all users, the system selectively includes or excludes certain instructions, tips, and warnings based on individual user needs. This ensures that each user receives reliable, task-critical information without unnecessary content that would reduce reading efficiency.
Solution Approach 2:
The system extracts and removes redundant information from work packages for experienced users. By analyzing user competence levels and task complexity, the system identifies and excludes unnecessary instructions and details that would constitute information overload, while retaining only the essential information needed for accurate task completion. This extraction process maintains reliability by preserving critical task information while improving productivity by reducing extraneous content.
Data Source
AI summary
A construction site management system with building information modelling (BIM) functionality. The system includes a server for maintenance of a three-dimensional gross model of a construction site, a mobile device connected to the server, wherein the server is configured to derive a three-dimensional net model from the gross model based at least in part on a work package, the work package being assigned from the server to the mobile device and comprising references to locations within the gross model, wherein the mobile device is configured to retrieve the net model from the server and provide the net model on a screen as a graphical user interface (GUI).