Wireless Work Site Tracking Layout for Antenna Placement Optimization
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Solution Overview
Problem
Conventional work site design methods lack comprehensive evaluation of dynamic operational factors, leading to suboptimal layouts, inefficient workflows, increased safety risks, and costly retrofitting due to inadequate consideration of equipment, layout, and operational dynamics.
Innovation Solution
A wireless-based tracking system utilizing a processor and memory to simulate and optimize work site designs by generating a virtual representation, determining outputs and targets, placing antennas, and iteratively adjusting their positions to optimize operational efficiency and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional manual design methods are used for work site layout, then design simplicity is maintained, but operational efficiency and safety are suboptimal
Solution Approach 1:
The system creates a virtual copy or digital twin of the work site that mirrors the physical environment. This virtual representation allows for comprehensive simulation and optimization of layouts, equipment placements, and workflows without affecting the actual work site. The virtual model can be iteratively adjusted and tested to find optimal configurations before implementing changes in the physical space.
Solution Approach 2:
The system performs preliminary simulation and optimization actions in the virtual environment before actual implementation. By evaluating multiple design scenarios, equipment arrangements, and operational workflows in advance, the system identifies the most efficient configurations and prevents suboptimal designs from being implemented in the physical work site.
2Ease of manufacture
If traditional design approaches are used, then implementation cost is reduced, but costly retrofitting is required later due to inadequate optimization
Solution Approach 1:
The system incorporates feedback mechanisms that evaluate design performance across multiple criteria including operational efficiency, safety, and adaptability. By analyzing simulation results and performance metrics, the system provides feedback on design quality and makes iterative improvements to achieve optimized configurations before physical implementation, thereby avoiding costly retrofitting later.
3Adaptability or versatility
If static design methods are employed, then initial design simplicity is maintained, but adaptability to changing operational needs deteriorates
Solution Approach 1:
The system transitions from static design to dynamic simulation, allowing work site configurations to be continuously adjusted and optimized based on changing operational requirements. The virtual model can simulate different scenarios, equipment arrangements, and workflow patterns, enabling the design to adapt to evolving needs without requiring complete redesigns.
Data Source
AI summary
A system for simulating an operational scenario on a work site using a wireless-based tracking system includes at least one processor and at least one non-transitory memory storing instructions. A method thereof includes steps of generating a virtual representation of a work site, determining at least one output and a target for each of the output, determining a number of object transport vehicles and antenna placements, generating virtual tags, simulating a movement of the plurality of virtual tags for the outputs, wherein the virtual tags are moved with the object transport vehicles and tracked by the antennas, iteratively adjusting each of the placements of the antennas to optimize output towards the targets, and providing optimized placements of antennas to an interface.