Development of Algorithm for Abnormal Situations' Prediction and Prevention in Industrial Product Movement Control Systems Based on Multicode Marking Data Analysis Article Swipe
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· 2019
· Open Access
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· DOI: https://doi.org/10.21869/2223-1560-2019-23-4-116-128
· OA: W2981358055
Perpose of research. The work is devoted to the development of algorithm for abnormal situations' prediction and prevention in industrial product movement control systems based on multicode marking data analysis. Methods: Nowadays product labeling using bar code or radio frequency tags is mainly used to identify products. There are a lot of methods and algorithms for their detection, recognition and identification. But they are individual. Specifically, the product is identified by a certain label. The presence of a large number of labels on the product is due to the fact that each stage of the life cycle involves its own marking and identification mechanisms. Thus, at manufacturing site, the product is marked with a label, during transportation it can obtain another label related to the transport campaign software, during sales the product can have several more labels of the seller identification system, etc. Otherwise, multicode marking (different marks on one product) can be used to improve the reliability of identification system results and the speed of transportation by not turning the product to a label reader. Results. This paper describes how to organize connection between different markings of the same product using methods of integrity control and combinatorics. The development of this approach is the use of simulation techniques to develop approaches for predicting and preventing of emergency situations during product movements. Experimental studies were carried out to determine the probability of identifying a bar code on the product to determine the minimum number of marks like bar code for marking metal pipes (OJSC "Vyksun Metallurgical Plant"). Conclusion. The article has a review and comparative analysis of analog systems. The algorithm of abnormal situations' prediction and prevention during product movement is described. The description is done on the basis of simulation model of product transportation process in the territory of CHPP-3 of OJSC "Vyksun Metallurgical Plant". Simulation results showed efficient use of proposed methods for further implementation at enterprises.
