Технічна інженерія (Jun 2024)
Selection and optimization of a unified protocol for transmitting measurement results in information and measurement systems with adaptive settings
Abstract
The problem of creating information and measurement systems, systems with adaptive adjustment of data transmission and processing methods, in particular the choice of a unified data transmission protocol that can adapt to various data transmission channels, is relevant and is considered in this article. An analysis of existing data transfer protocols, from outdated to modern ones, was performed, with an emphasis on their ability to ensure efficiency and a high level of integral reliability of measurement information transfer. These indicators are critically important at the design stage of computerized information and measurement systems. The main attention is paid to the tasks related to the optimization of the system, such as buffering and saving of information messages, binding of events to time stamps and use of the obtained solutions in autonomous systems. The importance of choosing a unified protocol to ensure the compatibility of components of different manufacturers in the information and measurement system and to ensure the effective use of the communication channel is considered. Modern industrial telemechanical data transmission protocols, such as Modbus, IEC 61850, and others, are analyzed for their compatibility, efficiency, integral reliability, information protection, and their suitability for various data transmission channels. Particular attention is paid to the problems that arise when using protocols without using TCP/IP as a carrier protocol, and the vulnerabilities associated with using only the Cyclic Redundancy Code (CRC) of TCP/IP at various stages of data transfer. In the context of these problems, the IEC 870-5-104 protocol is considered as the optimal choice for information and measurement systems with adaptive configuration, due to its ability to transmit different types of data with high reliability and integration into industrial systems. Additionally, issues of buffering, information storage, time synchronization, and the use of dynamic aperture for more efficient data transmission are discussed. Algorithms for synchronization and optimization of data transfer are proposed, which can significantly improve efficiency.
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