Description
- 32-bit DSP digital control mode
- Low vibration, low noise, low power consumption
- Maximum output current 3A/phase
- Adopting CAN bus and supporting standard CANopen communication protocol, it can load up to 127 devices
- Supports three modes: protocol position control, speed control, and periodic position control
- Current setting, subdivision, motor start stop control, and real-time monitoring of motor operation can be achieved through the bus
- 2-channel optoelectronic isolation programmable input interface
medical equipment, various types of robots, robotic arms, automated production lines, and various CNC machine tools.
Our country’s educational achievements are obvious to all. Almost 100% of the nine-year compulsory education and the number of universities are constantly expanding. Last year, our country’s university graduates reached 8.47 million. The huge educated population meets the talent needs of all aspects of capital-intensive industries; infrastructure On the other hand, we have established the world”s largest road and railway network, known as the “infrastructure maniac”, which ensures the smooth transportation of raw materials and finished products.As can be seen from the above, there is no shortage of talents in China”s manufacturing industry in the first two stages, but now we have come to the third stage of intelligence-intensive industries. What is needed at this stage is education, including higher education and high-end vocational education, to cultivate talents. R&D personnel, engineers, professional operators and so on, and this is what we are lacking today. In terms of cultivating R&D personnel and engineers in higher education, my country”s current stage can only be said to be unsatisfactory. There are 985 and 211 universities that provide some talents, which can barely meet the needs of the industry. Although the overall quantity and quality are still not enough, and as the progress deepens, This shortcoming will become more obvious. Relevant reports show that a bachelor”s degree is the basic academic requirement for talents in artificial intelligence-related positions. Especially in the field of artificial intelligence chips, up to 88.4% of positions require a bachelor”s degree. Most positions in technical fields such as intelligent robotics, machine learning, natural language processing, intelligent language, and computer vision require a master”s degree or above.
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