Multi-Purpose Robot Fleet Configuration for Task-Specific Deployment

The patent divides the centralized data collection system into distributed edge devices that operate autonomously. Each edge device segments the data processing tasks, handling local data collection, processing, and decision-making independently. This segmentation reduces the burden on centralized systems and prevents overwhelming data transmission while maintaining the ability to collect data from multiple IoT sensors and sources across the value chain network.

The patent implements preliminary data processing and analysis at the edge devices before data is transmitted to centralized systems. Edge devices perform initial filtering, aggregation, and processing of raw data from IoT sensors, preparing summarized and relevant information in advance. This preliminary action ensures that when data is transmitted to centralized systems, the complete and necessary information is already prepared, reducing transmission time and enabling faster decision-making without losing critical data completeness.

The patent creates a dynamic architecture where edge devices operate autonomously with real-time processing capabilities, while centralized systems provide uniform oversight and coordination. Edge devices dynamically respond to local conditions and events immediately, providing real-time insights and responses. The centralized system maintains uniform data processing standards and policies across the network. This dynamic structure enables both real-time responsiveness at the edge and uniform processing governance centrally, resolving the contradiction between processing uniformity and response speed.