Latency-Dependent Application Management via Historical Communication Analysis
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Solution Overview
Problem
On-site machines and vehicles with latency-dependent applications face challenges in maintaining real-time communication due to high-latency areas, which can hinder timely task execution and coordination, especially in environments where rescheduling is not feasible.
Innovation Solution
A system that analyzes historical communication data to identify high-latency areas and adjusts the implementation of latency-dependent applications by generating instructions for machines to avoid or modify communication methods, such as using alternative signal sources, to ensure compliance with latency requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If machines operate in high-latency areas, then coverage and accessibility are improved, but communication latency increases and real-time coordination deteriorates
Solution Approach 1:
The system performs preliminary analysis of historical communications information to identify high-latency areas before machines operate in them. By pre-characterizing the communications landscape and predicting latency conditions, the system can proactively route machines away from problematic areas or prepare alternative communication strategies, thus avoiding real-time coordination failures.
Solution Approach 2:
The system continuously monitors actual communication latency and compares it against predicted latency from historical data. This feedback loop allows the system to refine its predictions and dynamically adjust machine routing or communication methods. The analytical module uses this feedback to improve future latency predictions and generate more accurate instructions for machine operation.
2Reliability
If real-time communication is enforced, then task coordination quality is improved, but operational flexibility and adaptability to high-latency areas deteriorates
Solution Approach 1:
The system dynamically adjusts communication requirements based on predicted latency conditions. In low-latency areas, strict real-time communication is enforced for high coordination quality. In high-latency areas, the system flexibly modifies communication frequency and timing to match actual conditions. This dynamic approach allows the system to maintain adequate coordination quality while adapting to varying communications constraints across different geographic areas.
Solution Approach 2:
The system applies different communication strategies to different geographic areas based on their specific latency characteristics. Rather than enforcing a uniform real-time communication requirement across the entire operational area, the system tailors communication protocols to local conditions. In high-latency zones, machines may operate with less frequent updates or use alternative coordination methods, while maintaining high coordination quality where latency is low.
3Productivity
If historical communications analysis is performed, then communication optimization is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system performs self-analysis of its own historical communications information to generate predictive latency models. Rather than requiring external complex analysis systems, the analytical module within the server independently processes historical data, identifies patterns, and generates predictions. This self-service approach optimizes communications while managing complexity through automated, rule-based analysis rather than requiring sophisticated external systems.
Data Source
AI summary
The present disclosure is directed to systems and methods for managing on-site communications of a machine with a latency-dependent application installed. The method includes, for example, (i) receiving geographical information associated with a work site; (ii) receiving historical communications information associated with the work site; (iii) analyzing the historical communications information and the geographical information; (iv) generating an instruction for implementing the latency-dependent application of the machine based on a latency requirement of the latency-dependent application; and (v) implementing the latency-dependent application of the machine based on the instruction. The historical communications information includes a communications event, a duration of the communications event, and a frequency of the communications event.