Description
DS200DCFBG1BLC Product Introduction
The specific application scope of the product
will depend on the needs of system integration and industrial application, but generally speaking, this type of embedded controller module can be applied to the following categories:
manufacturing processes, etc.
monitoring and control system.
of the controller module, as well as the specific needs of the customer.
designed to manage gas or steam turbines.
It has a CIMPLICITY graphical interface and an HMI with software suitable for running heavy-duty turbines.
be installed at the bottom of the cabinet. For a small setup that is easy to serve a triple redundant system, up to three components can be installed side by side.
he board can operate within a temperature range of 0 to 65 degrees Celsius without the need for a fan for cooling. NFPA Class 1. This board can be used for two applications.
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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