Worksite Optimizer for Autonomous Machinery Sequencing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for managing worksite machinery rely on manual decisions, which do not optimize machinery placement and sequencing to minimize operation time and costs, and lack automated vehicle sequencing information.
Innovation Solution
A computer-implemented method and system that divides a worksite into operating regions based on terrain and resource maps, determines a process chain, adjusts regions, and generates vehicle sequences for machines to optimize operations and reduce human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual management methods are used for worksite machinery, then operational flexibility and human control are maintained, but operation time and costs are not optimized
Solution Approach 1:
The system enables self-service by allowing the worksite management system to autonomously determine vehicle sequences, allocate machinery, and optimize operating regions without continuous human intervention. The processor automatically processes work requests, generates execution sequences, and adjusts machinery allocation based on real-time conditions, making the system self-managing while improving productivity.
Solution Approach 2:
Manual mechanical decision-making processes are replaced with an automated computer-based system. The processor substitutes human operators in determining vehicle sequences, allocating machinery, and optimizing work flows through algorithmic processing of work requests and real-time data analysis, thereby reducing operation time while maintaining control.
2Productivity
If manual decisions are used for machinery placement and sequencing, then adaptability to changing conditions is maintained, but operation costs and time increase
Solution Approach 1:
The worksite management system performs multiple functions through a single integrated platform: it receives and processes work requests, determines vehicle sequences, allocates machinery, generates operating regions, and adjusts allocations dynamically. This multi-functional approach improves operation efficiency while consolidating management complexity into one system rather than multiple separate processes.
Solution Approach 2:
The system performs preliminary actions by pre-determining vehicle sequences and machinery allocations before actual work execution. The processor generates operating regions and sequences in advance based on work requests, allowing machinery to be optimally positioned and scheduled before operations begin, thereby improving efficiency without adding operational complexity.
3Loss of time
If automated vehicle sequencing is implemented, then operation time is reduced, but system complexity increases
Solution Approach 1:
The worksite is divided into multiple operating regions, and the vehicle sequencing process is segmented into discrete steps: receiving work requests, determining sequences for specific regions, allocating machinery to regions, and generating execution instructions. This segmentation reduces the time complexity of overall sequencing while managing system complexity through modular processing of individual regions and tasks.
Solution Approach 2:
The processor acts as an intermediary between work requests and machinery execution. It receives high-level work requests, processes them through automated sequencing algorithms, and generates detailed vehicle sequences and allocation instructions. This intermediary layer reduces sequencing time by automating the translation from abstract work requirements to concrete execution sequences while managing system complexity through standardized processing protocols.
4Productivity
If more human personnel are deployed for worksite management, then operational control and safety are improved, but operation costs increase
Solution Approach 1:
The system implements feedback mechanisms where the processor continuously monitors machinery execution, compares actual performance against planned sequences, and adjusts vehicle sequences and machinery allocations in response to real-time conditions. This closed-loop feedback maintains operational safety and reliability while reducing the need for additional human personnel to monitor and control operations.
Solution Approach 2:
Human personnel involved in manual monitoring and control tasks are replaced with an automated processing system. The processor substitutes human operators in determining vehicle sequences, allocating machinery, and making real-time adjustments, thereby improving cost efficiency while maintaining operational safety through consistent algorithmic decision-making and automated oversight.
Data Source
AI summary
A computer implemented method for managing a worksite includes dividing by a worksite optimizer the worksite into a plurality of separate initial operating regions based on a set of input criteria, determining by the worksite optimizer a process chain to be performed by a plurality of machines located at the worksite, adjusting by the worksite optimizer the plurality of initial operating regions based on the process chain to define a plurality of separate final operating regions, and generating by the worksite optimizer a vehicle sequence for at least some of the machines located at the worksite using the plurality of final operating regions.