Worksitesite Machine Control System Real-Time Adaptive Scheduling
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Solution Overview
Problem
Conventional methods for optimizing earthmoving operations at worksites fail to accurately anticipate costs, productivity, and turn-around time due to lack of real-time data integration and adaptive control systems.
Innovation Solution
A control system that receives pre-construction and design terrain data, resource information, and simulates machine operations to provide optimized tasks and performance indicators, updating process variables in real-time based on collected data to improve operational efficiency and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional methods use planned profile and site profile subtraction to analyze construction work, then the analysis can be performed, but the ability to anticipate desired cost, productivity, and turn-around time is insufficient
Solution Approach 1:
The system performs simulation of machine operations and estimation of process variables before actual construction work begins. By using pre-construction terrain data, design terrain data, and resource data to simulate operations and define constraints, the system anticipates cost, productivity, and turn-around time in advance, allowing planners to make informed decisions before committing resources to the actual work.
2Productivity
If real-time data collection and updating is implemented, then operational efficiency is improved, but system complexity increases
Solution Approach 1:
The system implements real-time data collection from machines during operations and continuously updates process variables based on this feedback. The control system receives actual operational data, compares it with simulated predictions, and adjusts performance indicators and scheduling in real-time. This closed-loop feedback mechanism enables adaptive control that improves operational efficiency while managing system complexity through automated adjustments.
3Ease of operation
If simulation and estimation of process variables is performed, then operational planning is improved, but computation time and resources increase
Solution Approach 1:
The system performs simulation of machine operations and estimation of process variables during the planning phase, before actual construction begins. By using pre-construction terrain data, design terrain data, and resource data to simulate operations and define constraints in advance, the system prepares optimized schedules and performance predictions upfront, reducing the need for extensive real-time computation during actual operations.
Data Source
AI summary
A method of controlling machines for performing operations at a worksite is disclosed. The method includes receiving pre-construction terrain data, design terrain data, and resource data and then defining a plurality of constraints based on the data. Operations of the machines are simulated based on the data. The method includes estimating process variables associated with the operations and defining and scheduling tasks to be performed by the machines. The method includes collecting real time data from the worksite and updating the estimated process variables and the scheduled tasks of the machines based on the collected real time data. Instructions are then provided to the machines for executing the tasks.