Project Introduction:
With the rapid upgrading of products in the intelligent manufacturing industry, ant robots is faced with great conflict with the inefficient traditional logistics mode. With its intelligence and flexibility, ant robots realizes unmanned material handling, production automation and inventory information management in the whole plant. Through the automatic material transfer between different production lines and stations, it can cover the demand of 50kg-500kg material transfer, Effectively solve the messy phenomenon of manual management on site.
Industry Demand:
The configuration is flexible, and the operation mode can be adjusted according to the production demand to quickly adapt the layout
Reduce the dependence on skilled workers, reduce manual handling, improve the level of automation
The upstream and downstream information flow is more transparent, and the process management is more intelligent and efficient
Industry Pain:
There are a lot of special scenes such as cross floor transportation
The process is complex, and different warehouse operation modes are diverse
There are many kinds of SKUs, and the parameters such as volume and weight are quite different, so it is easy to pick up the wrong SKUs
Digital factory construction project of a listed company in Shandong
Project Introduction:
This project is a customer's digital factory construction project. The original production line is a chain-plate serial manual assembly line. The efficiency of a single station will affect the efficiency of the entire production line. After selecting the modular chemical position type and using AGV for transportation, flexible production is realized. It adopts series + parallel station production, and does not require civil engineering transformation, and the efficiency of the production line is increased by more than 30%.
AGV Selection: pallet handling forklift AGVFDD14
Load: 1400kg
Number of AGVs: 8
Navigation Method: Laser SLAM
AGV Selection: omnidirectional movement A10-L
Load: 1000kg
Number of AGVs: 8
Navigation Method: Laser SLAM