Open AccessArtificial Intelligence Technology in Electric Automation Monitoring System of Power Plant
Author(s) -
Tao Yan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2143/1/012010
Subject(s) - automation , fieldbus , process automation system , foundation fieldbus , ethernet , function (biology) , electric power system , systems engineering , electric power , engineering , embedded system , building automation , computer science , reliability engineering , control engineering , electrical engineering , control system , power (physics) , operating system , mechanical engineering , physics , thermodynamics , quantum mechanics , evolutionary biology , biology
With the development of large-capacity and high-parameter units, the degree of electrical automation in power plants is becoming more and more important. Due to the relatively backward technology of traditional electrical monitoring, it is more human monitoring, and the level of automation is low. Nowadays, communication network technology has been rapidly developed, and machinery and equipment have become more intelligent. These have laid a good technical foundation for the reform and innovation of electrical automation monitoring systems in power plants. This article first studies the development status of the electrical automation monitoring system, and then uses the fieldbus and Ethernet technology to carry out the configuration mode and construction of the electrical automation system. Then, this article designs the basic functions, advanced application functions and software parts of the system. Finally, this paper tests the running time and update function of the system dynamic module. The test result shows that the running time of the dynamic module meets the requirements of the system, and the update function is relatively fast.