The Fleet management adopts a variety of AI intelligent scheduling algorithms to achieve optimal allocation of intelligent robots' work tasks, multi-robot path planning robot traffic management, etc., to realize that robots work with robots, robots work with automation equipment, clusters of intelligent robots work with each other, and intelligent robots work with human beings, to provide high-efficiency power for the application of robots, and for the smart factories, intelligent manufacturing and smart cities.
Multidimensional data analysis
Through the scientific layout, the data analysis layout is more flexible, the space utilization rate is higher, and the graphic proportion is more reasonable so that the data is more clearly and intuitively presented.
Graphic task chain function
Based on the KC digital technology platform, you can drag and drop the graphic modules directly to generate the task flow, without writing code.
All-in-one Python development tool
Built-in Python development, with graphical design features, allows you to form modules of edited scheduling tasks for easy subsequent retrieval and use.
Overall improvement in deployment security
The data protection mechanism is enhanced with highly reliable and secure communication technology means such as asymmetric encryption, key authentication, encrypted pipes, and secure certificates.