Master-Slave Robot Communication for Logistics Fleet Data Traffic
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Solution Overview
Problem
Existing smart logistics vehicles face issues with server overload and inefficiency due to unoptimized data traffic and congestion, leading to increased communication hardware costs and data delays, especially when multiple robots of different models or exceeding the capacity of a single control system.
Innovation Solution
A smart logistics vehicle control system that selects a master robot to manage communication sections, with slave robots transmitting position data through optimized data traffic management, using Wi-Fi Direct and Bluetooth for communication, and minimizing latency and duplicate data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an integrated regulation system is provided to regulate all ACSs, then the control capability is improved, but server overload occurs due to large amount of data processing
Solution Approach 1:
The system divides the fleet into multiple communication sections, each managed by a master robot. This segmentation distributes data processing responsibilities across multiple nodes rather than concentrating all data processing at a central server, thereby maintaining comprehensive control capability while reducing the data processing load on any single server.
Solution Approach 2:
Master robots act as intermediary nodes between slave robots and the central server. Each master robot collects and aggregates position data from its associated slave robots, then transmits consolidated data to the server. This intermediary layer reduces the volume of data that must be processed by the central server while preserving the integrated regulation system's comprehensive control capability.
2Ease of operation
If all robots transmit data directly to the server, then data collection is simplified, but communication hardware costs increase
Solution Approach 1:
Multiple slave robots within the same communication section merge their data transmission through a single master robot. Instead of each slave robot establishing independent communication hardware connections to the server, they combine their data streams and transmit through the master robot, thereby reducing the total quantity of communication hardware required while maintaining simplified data collection operations.
3Reliability
If each ACS controls independent robots, then system independence is maintained, but traffic congestion occurs as robots cannot recognize each other's positions
Solution Approach 1:
The master robot serves multiple functions: it maintains the independence of its communication section while simultaneously providing position information for all slave robots within that section. This multi-functionality allows each ACS to maintain system independence while the master robot enables comprehensive position recognition across all robots in its section, preventing traffic congestion.
Data Source
AI summary
A smart logistics vehicle control system and method are configured to optimize data traffic through controlling a cluster of smart logistics vehicles. The smart logistics vehicle control system includes a robot selection part which selects, among a plurality of smart logistics vehicles, a master robot in charge of a center of a communication network for each communication section and a plurality of slave robots which are positioned within the communication section taken charge of by the master robot, and which are controlled by the master robot to transmit position data, and a robot control part for controlling to receive from the master robot the position data of the master robot and the slave robots collected by the master robot when the master robot and slave robot are selected by the robot selection part and to transmit the received position data to a server.