KEYWORDS: Distributed computing, Telecommunications, Data communications, Control systems, Data transmission, Data processing, Design and modelling, Control software, Communication technologies, Industrial applications
Addressing the issues of poor real-time data transmission, high network latency, and long response times in traditional Ethernet communication systems used in distributed energy systems within industrial parks, this research focuses on designing a distributed real-time communication system master station based on the EtherCAT transmission protocol. The system is developed using the Qt cross-platform development framework. The distributed real-time communication system consists of a master station that provides management and control functions and slave stations that receive response signals. The master station and slave stations are connected via standard Ethernet cables, and communication data is captured and analyzed using Wireshark. Test results demonstrate that the system exhibits good real-time performance and fast response speeds, effectively addressing issues such as network congestion, data frame collisions, and packet loss commonly encountered when using traditional Ethernet in distributed energy systems.
The coil power supply is the core system of the EAST (Experimental Advanced Super-conducting Tokamak) device. In the field of nuclear fusion, the MDSplus database is often used to store experimental data and the built-in GUI tool jScope to display the experimental data. jScope can not meet the debugging needs. Based on the MDSplus database and the Python programming language, this paper develops the data analysis module of the power system of the EAST device, establishes the Python and MDSplus database interfaces, reads the data generated by the power system from the model tree, and calls the matplotlib package for waveform drawing. Visualize the power system data through Python, view the curve of voltage/current over time, obtain the difference, maximum, average, etc. of the voltage/current in any time period, and at the same time, you can read the relevant parameter values at any time point. The operation of the system plays a more precise and targeted debugging.
KEYWORDS: Data acquisition, Data storage, Clocks, Distributed computing, Wind energy, Databases, Control systems, Signal processing, Nickel, Global Positioning System
In the context of carbon neutrality, distributed energy has ushered in new development. The distributed energy system in the industrial park also needs a reasonable and reliable data management system to manage the energy data in the park. In order to meet the requirements of distributed energy in the industrial park for data source modularization, clock synchronization, and sampling rate, a data management system based on distributed data acquisition, MDSPlus database, and timing synchronization system is designed. The system realizes efficient and reliable data collection, storage, and management for distributed energy.
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