Digital Jobsite Mapping From Machine Roles and Location Clusters
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Solution Overview
Problem
Construction machines are frequently moved between jobsites without documented machine and production data, making it difficult to create digital representations of these sites, and existing methods only focus on calculating machine utilization or production without addressing the dynamic nature of jobsite boundaries.
Innovation Solution
A computing system that identifies machine locations, groups them based on function and location, determines a centroid and boundary, and generates a digital representation of the jobsite using machine data and machine-learning algorithms, allowing for real-time monitoring and productivity tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data entry is used to create digital representations of jobsites, then data can be input into the system, but the process is time-consuming and inefficient
Solution Approach 1:
The system enables self-service by automatically collecting machine data through telemetry devices and GPS receivers, eliminating the need for manual data entry. Machines self-report their locations and operational data, which the system then processes to automatically create and update digital jobsite representations.
Solution Approach 2:
The patent replaces the mechanical manual data entry process with an automated electronic data collection system. Telemetry devices, GPS receivers, and communication networks substitute for manual input methods, automatically capturing and transmitting machine data to the system.
2Adaptability or versatility
If machines are frequently moved between jobsites without documentation, then machine utilization can be maximized, but tracking machine locations and creating digital representations becomes difficult
Solution Approach 1:
The system implements continuous feedback through telemetry devices and GPS receivers that automatically track and report machine locations in real-time. This feedback loop ensures that machine movement data is captured and transmitted to the system, maintaining accurate digital representations even as machines are frequently relocated.
Solution Approach 2:
The patent introduces communication networks and telemetry devices as intermediaries between machines and the central system. These intermediaries automatically capture and transmit location data, serving as a bridge that maintains information flow without requiring manual documentation during machine movements.
3Productivity
If automated systems are implemented to collect machine data, then data collection efficiency improves, but system complexity increases
Solution Approach 1:
The system achieves universality by using multi-functional telemetry devices that perform multiple tasks: collecting GPS location data, capturing machine operational data, and transmitting information through communication networks. This consolidation reduces the need for separate specialized devices, managing complexity while maintaining comprehensive data collection capabilities.
Data Source
AI summary
A technique is directed to methods and systems for creating digital representations jobsites. The jobsite creation system can collect machine data, such as location data, from machines in a worksite and determine the role, such as loading, hauling, drilling, etc. of each machine in the worksite. The machines are grouped together and organized based on which machines operate in a geographic region together. The jobsite creation system generates a digital representation of a jobsite with a site boundary based on the machine groupings. A user can view the jobsite on a user interface to monitor the operation of the machines and track productivity and utilization data for the machines in the jobsite.