Autonomous Replacement Logistics Using Edge Query Processing
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Solution Overview
Problem
The proliferation of data from IoT sensors and other sources in value chain networks overwhelms traditional centralized data collection methods, leading to complexity and inefficiencies in data transmission and automated decision-making.
Innovation Solution
A method for processing queries in a distributed database using edge devices, where queries are stored on a dynamic ledger, generating approximate responses based on summary data, and transmitting these responses, with the option to use a neural network for probability distribution modeling and query planning to optimize data retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If centralized data collection methods are used to gather data from IoT sensors and value chain networks, then comprehensive data availability is improved, but network overhead and system complexity increase significantly
Solution Approach 1:
The patent segments the centralized data collection system into distributed edge devices that operate autonomously throughout the value chain network. Each edge device collects and processes data locally, eliminating the need for a single centralized collection point and reducing network overhead while maintaining comprehensive data availability across the distributed system.
Solution Approach 2:
The patent introduces a new dimensional approach by implementing hierarchical data storage with summary data at the edge device level and detailed data available on-demand. This multi-level data organization creates an additional dimension in data management, allowing the system to maintain comprehensive data availability while reducing immediate network traffic and system complexity.
2Measurement precision
If all raw data is transmitted centrally for processing, then decision-making accuracy is improved, but transmission time and network bandwidth consumption increase
Solution Approach 1:
The patent extracts essential information from raw data at the edge device level by creating summary data that captures key insights and patterns. This extracted summary data is transmitted to centralized systems for further processing, maintaining decision-making accuracy while dramatically reducing transmission time and network bandwidth consumption compared to transmitting all raw data.
Solution Approach 2:
The patent performs preliminary data processing and summarization at edge devices before data leaves the local network segment. This preliminary action of creating condensed summary data reduces the volume of data requiring long-distance transmission, thereby maintaining analytical accuracy while minimizing transmission time and network resource consumption.
3Measurement precision
If detailed query processing is performed centrally, then response accuracy is improved, but processing speed and scalability decrease
Solution Approach 1:
The patent segments query processing capabilities across the distributed network, allowing edge devices to handle local queries independently using their stored summary data. This segmentation enables parallel processing of multiple queries across different edge devices, improving overall processing speed and scalability while maintaining response accuracy through the distributed architecture.
Solution Approach 2:
The patent implements partial query processing at edge devices using available summary data, returning immediate approximate results for common queries. For queries requiring higher accuracy or accessing detailed raw data, the system escalates to centralized processing. This partial action approach improves processing speed for the majority of queries while maintaining response accuracy when needed.
Data Source
AI summary
A system for product replacement includes a product logistics system for a product in a product condition. The system includes an exposure data collection system configured to collect exposure data indicating at least one of an event or an environmental condition that may impact the product condition of the product. The system includes a replacement determination system programmed to calculate a probability for the need to replace the product based on the at least one of the event or the environmental condition. The system includes a replacement procurement system programmed to autonomously configure an option-type futures contract for replacement of the product based on the probability for the need to replace the product.