Decision support system for earthmoving production estimates and equipment allocation

Construction planners require in-depth production estimates in an area of operations to optimally deploy equipment to prepare an area to its end state. With the increasing use of satellite imagery and voxelized LiDAR data, digital elevation models can be utilized for these estimates. However, an automated program for production estimates based on area characteristics is currently unavailable. Using well-established production estimation techniques, a computerized decision-support program was created that can be applied to both commercial and military construction operations. The program conducts analyses for end-to-end activities from simple user inputs and automated calculations. Pre- and post-excavation activities have been largely ignored in the creation of previous decision-support systems. The emergence of machine-learning and voxel data analysis allow for this program to be utilized as a base for a fully automated estimation program, eliminating the need for user inputs. The advent of autonomous construction equipment allows for optimal deployment based on estimates provided by the end-to-end site preparation decision support system developed in this research paper.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Systems & Entrepreneurial Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Lewandowski, Jakub P.

Contributors dc:contributor

• Nagi, Rakesh
• Norris, William Robert

• Construction
• automation
• excavation
• LiDAR

Statement dc:rights

• Copyright 2021 Jakub Lewandowski

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/113208

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/113208