The aim of this work is to study the synchronization system in wireless sensor networks of remote objects of the oil and gas complex. The objective of the study is to ensure the timely collection of reliable information about the parameters of the process. In the course of the study, methods of theoretical circuitry and mathematical modeling were used, in particular, regression and analytical models, methods of probability theory and mathematical statistics using MathCad and Matlab software packages. The conducted studies indicate a high vulnerability of the radio links of the infocommunication system for monitoring the parameters of remote objects of the oil and gas complex from attacks on the synchronization system when using deterministic synchronization signals in it. The results achieved allow us to provide the specified requirements for reliability and timeliness when deploying modern wireless sensor networks in the oil and gas industry.
Problems of nondestructive carbon content in structural steels estimation are considered in this paper. These problems include complexity of carbon's distribution over the alloy's sample and significant variance of used electrochemical process inner parameters. Proposed solutions are adaptively adjustment of probe current pulses parameters and obtained data (chronopotentiograms) treatment algorithm based on decompositional modeling method. Experimental part contains application of both solutions to carbon content identifying. Efficiency of proposed adjustment of probe current pulses parameters is proved by comparing distinguishability of obtained this way chronopotentiograms to ones, obtained in uncorrected impulse mode.
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