Abstract
Problems and problems arising during development of correlation-extreme systems (CES) for search of fluid leaks from pipelines under pressure are considered. Detection of defects in pipeline networks is a current scientific and practical task, as timely and accurate determination of pipeline defect coordinates and prompt elimination of this defect depends on the quality of the service provided to the consumer. The example of a heating network shows that the automated system based on the CES is able to monitor the defects of the heating network and notify the dispatcher of any abnormal situations to decide on further actions of the personnel serving the heating network. Technical means for implementation of such CES are proposed. #CSOC1120
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Frolov, S.G., Korikov, A.M. (2020). Correlation-Extreme Systems of Defect Search in Pipeline Networks. In: Silhavy, R. (eds) Artificial Intelligence and Bioinspired Computational Methods. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1225. Springer, Cham. https://doi.org/10.1007/978-3-030-51971-1_32
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DOI: https://doi.org/10.1007/978-3-030-51971-1_32
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