Artificial Intelligence Technology in Electric Automation Monitoring System of Power Plant

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.

Colored Petri Nets Model for Network Based FTI Systems

Network based data acquisition system is a system which allows a data exchange using Ethernet technology. One of the main usage areas of this type of system is Flight Test Instrumentation (FTI) applications. There exists some complexity in analysis and synthesis of the entire system. Colored Petri Net (CPN) is a compact modelling method for Discrete Event Systems (DES). A model of a FTI network fabric is considered in this work in order to reduce related complexities. A CPN model for network based FTI system is presented and all states for this model are obtained in this work.