Production logistics intelligent distribution AGV system based on cloud-station-point architecture, and application thereof

Abstract

The present invention relates to a production logistics intelligent distribution AGV system based on a cloud-station-point architecture, and the application thereof. The system comprises a cloud platform, a station end and a point end. The cloud platform comprises a ring network and a cloud server which is used for operating a data analysis and decision system; the station end comprises a plurality of AGV scheduling subsystems, and each AGV scheduling subsystem comprises at least one station server responsible for AGV vehicle scheduling in a corresponding plant area; and the point end comprises a plurality of AGV vehicles under a plant area corresponding to each AGV scheduling subsystem, the plurality of AGV vehicles carries out real-time signal transmission with the station end through the wireless AP and the switch, and the station end is connected with the cloud platform through the wireless communication module for data transmission. The technical scheme of the present invention achieves the purposes of distributed control and data centralization of a plurality of AGVs, achieves the unified management, scheduling, monitoring and analysis of the plurality of AGVs, and solves theproblems that the traditional system cannot implement cross-site, cross-workshop and cross-plant AGV control and data centralization, so that effective integration of data is really realized.

Description

technical field [0001] The invention relates to an intelligent distribution AGV system for production logistics based on a cloud-station-point architecture and its application, belonging to the technical field of intelligent logistics. Background technique [0002] Automated Guided Vehicle (AGV) has been around for more than 60 years, and has become one of the more mature workshop-level point-to-point automated logistics distribution tools. During the research and practice of existing technologies, technicians found that the AGV scheduling system has the following problems: (1) It only solves the requirements of point-to-point automatic material distribution at the workshop level, and fails to consider lean production methods, so it cannot achieve lean and agile material distribution. (2) The system is too rigid, and it is difficult to adjust and modify the logistics path in the later stage. It is difficult for AGV application manufacturers to change the logistics path acco...

AI Technical Summary

Problems solved by technology

During the research and practice of existing technologies, technicians found that the AGV scheduling system has the following problems: (1) It only solves the requirements of point-to-point automatic material distribution at the workshop level, and fails to consider lean production methods, so it cannot achieve lean and agile material delivery

(2) The system is too rigid, and it is difficult to adjust and modify the logistics path in the later stage. It is difficult for AGV application manufacturers to change the logistics path according to their own production change needs.

(3) The scheduling of AGV also fails to consider the production status, equipment conditions and some production resource elements of the AGV system itself, resulting in low system operation efficiency

(4) In the face of cross-regional and multi-factory automated logistics distribution requirements, it is only realized by arranging each factory area / workshop one by one, resulting in a lack of data interaction between systems in each factory area / workshop, and efficient collaborative production cannot be achieved. Not to mention centralized monitoring, lack of centralized analysis and value-added utilization of data

Therefore, the system data after the deployment of the existing AGV system is scattered in different locations, it is difficult to achieve data centralization, and it is even more difficult to extract and analyze the big data of the AGV system

Images