Industrial Robot Training Series

The platform integrates the latest technology in the field of industrial robots, allowing students to learn the most advanced industrial robot application technology

The skills students can learn and master using this platform include sensor detection technology, visual detection technology, electrical control technology, stepper drive technology, servo drive technology, industrial robot technology, PLC technology, configuration technology, production line process design, system maintenance and Fault detection technology, offline programming simulation technology, industrial Ethernet communication technology, etc.

The DLDS-1190 training system is equipped with FANUC industrial robot, SIEMENS PLC. It is equipped with the vision system (2D) of the FANUC intelligent camera, a unit of machining automation task, a basic operation assessment module, a gift packaging task unit, an intelligent transfer-sorting-palletizing task unit, a digital keyboard assembly task unit, a process application welding task unit, components, etc.

DLIM-WL08 logistics management system, through the network interconnection, data intercommunication and system interoperability of industrial resources, realizes the flexible ways of warehouse customization, material order storage, selection of storage, upper storage and lower storage, and material storage. The process is carried out according to the selected method, and the reasonable optimization of the logistics system enables the efficient use of resources, thereby building a high-efficiency, high-precision, and high-standard logistics management system.

DLRB-VS401 robot vision training system is a comprehensive robot vision training platform developed by our company that integrates teaching, research, and learning. The overall equipment is composed of an aluminum alloy training platform, a six-axis robot, a vision system, a PLC controller, electrical and pneumatic devices, and other components. Modules can be flexibly combined, installed, and debugged according to training needs.

The DLIR-275 industrial digital twin system simulates a highly automated smart factory, which includes industry 4.0 technology and advanced manufacturing concepts. The smart production line includes production processes and processes such as feeding, filling, sealing and storage, and is equipped with digital twins The simulation workstation is used for the expansion, design and virtual commissioning of subsequent production lines. The system software includes PLC programming software, MES manufacturing execution system, industrial digital twin development platform and other software. Students can learn and master relevant professional skills through the localization of physical equipment systems.

The industrial robotics training platform can train students to master the robotics operation, debugging, visual application of industrial robots, PLC principle, PLC programming, sensor technology, PROFINET Industrial Ethernet communication technology, etc.

The industrial robot teaching platfrom may used to realize industrial robot machining automation tasks, intelligent transfer, sorting and stacking tasks of industrial robots, industrial robot gift packaging task, welding task of industrial robot process application, assembly task of industrial robot digital keyboard, robot disassembly training of robot simulation software

DLRB-801 Didactic Flexible Manufacturing Training System Industrial Robotics Training Equipment mianly designed for technical vocational education training. The training system can be used to demonstrate the production and assembly process of parts, including feeding, testing, processing and warehousing.and for sensor training,for the training of electrical control system, for motor drive technology training, for industrial robot training.

Equipment Intuitive: The main equipment are used directly exposed form of installation, equipment can be more intuitive in front of students, shortening the students from the classroom to the industrial field transition and adapt time.