[technology sharing II] multi vehicle dispatching of AGV dispatching system

At present, digitization, intellectualization and automation have become the only way for industrial transformation. As the brain of logistics in the factory, the scheduling system connects the whole production process and is an important link to realize the intelligent factory. This requires that the actuator of the scheduling system - mobile robot, not only has individual intelligence, but also achieves group intelligence, In order to meet the increasingly complex internal logistics needs.

In the last issue, we shared [BS architecture and CS architecture of AGV dispatching system] to understand the definition and respective advantages of the dispatching system architecture. No matter which architecture is based, the dispatching system can realize multi vehicle cooperation and maximize efficiency through mutual cooperation.

About the multi-machine scheduling system

The multi machine scheduling system adopts artificial intelligence algorithm to conduct intelligent scheduling and Optimization for multi-point reclaimer and multi point feeding process. Multi task scheduling ensures the best efficiency. Through the centralized control of backstage, the task assignment, dispatching coordination and traffic control of multi robots can be realized.

Multi Machine Scheduling System

Dispatch Hundreds Of AGVS

Through background centralized control, the scheduling system can achieve higher robot density and more complex path scheduling in single scene, and at the same time command hundreds of robots to cooperate at the same time to achieve the optimal task assignment, scientific path planning and perfect traffic dynamic management.

Dispatch hundreds of AGVs to operate at the same time

Ant RCS scheduling system can achieve the scale of hundreds of landing scenes. Limited by industrial scenes, thousands of sets can be scheduled in the simulation exercise of the experimental site.

Multi scene collaboration

In the mobile robot market, each industry faces the characteristics of scene fragmentation. Under the command of the dispatching system, AGV is required to configure or change the material supply sequence, time interval and handling target point according to the production process and beat.

Ant RCS scheduling system has the industry-leading navigation algorithm. Through the competition and cooperation game algorithm among mobile machines, it can adapt to various flexible internal logistics scenarios.

5g Enabled Swarm Intelligence

5g technology has the characteristics of large bandwidth, wide connection and low delay, which greatly improves the large-scale access capacity and data processing capacity of mobile robots. For example, the wide connection feature of 5g technology enables more AGVs to operate simultaneously in the same scene, with low delay, meets the scheduling delay requirements and realizes real-time communication, The scheduling system can manage and schedule large-scale robot clusters more accurately.

At present, many products of ant robot support 5g technology, and the latent lifting and pallet handling AGV using 5g module has been carried out in an orderly manner at the customer's site.

Large scale ontology clustering and individual intelligence improvement are the general trend of the whole industry. The ant robot RCS scheduling system is equipped with multi task scheduling algorithm, which can be flexibly configured according to the actual needs to achieve the optimal task allocation scheme, efficient multi robot path planning and traffic control algorithm, and realize the efficiency optimization of the overall operation of the whole plant, Technology upgrading of various enabling robot industries.