Abstract
At present, in connection with the need to move to new intellectual digital production technologies and implement international quality standards, it is necessary to introduce new science-based approaches to controlling the movement of products and small-scale mechanization of warehouses. This is due to the fact that the warehouses of large industrial organizations, at the current level of hardware and software, cannot fully comply with domestic and foreign quality standards in the field of product tracking, regulated by GOST and ISO. The article is devoted to the development of a technology of building movement control systems of products in the warehouse areas of industrial enterprises using radio frequency identification methods. The main methods of development of such systems based on technical vision and radio frequency identification are considered. The main normative documents and interstate standards regulating the described processes are given. The analytical review of the Russian and foreign scientific and technical base on development of methods and algorithms of movement control systems is conducted. The comparative analysis of analog systems was carried out. The simulation model for the movement of industrial products and the structure of the hardware-software complex movement control systems are developed. The article presents the results of experimental studies in laboratory and industrial conditions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Development of the digital economy in Russia program until 2035. http://innclub.info/wp-content/uploads/2017/05/strategy.pdf. Accessed 15 Sept 2018
Internet of Things in 2020 roadmap to future. https://mafiadoc.com/internet-of-things-in-2020-roadmap-for-the-future-eposs_5a17c5b41723ddb59566366a.html. Accessed 18 Aug 2018
Xu, R., Chen, W., Xu, Y., Ji, S.: A new indoor positioning system architecture using GPS signals. Sensors 15, 10074–10087 (2015)
Tabatabaei, A., Mosavi, M.-R.: Performance analysis of GLONASS integration with GPS vectorised receiver in urban canyon positioning. Surv. Rev. (2018). https://doi.org/10.1080/00396265.2018.1481181
Zhuang, Y., Syed, Z., Li, Y., et al.: Evaluation of two WiFi positioning systems based on autonomous crowdsourcing of handheld devices for indoor navigation. IEEE Trans. Mob. Comput. 15(8), 1982–1995 (2016)
Luo, J., Zhang, Z., Liu, C., et al.: Reliable and cooperative target tracking based on WSN and WiFi in indoor wireless networks. Access IEEE 6, 24846–24855 (2018)
Agarwal, P., Gupta, A., Verma, G., et al.: Wireless monitoring and indoor navigation of a mobile robot using RFID. In: Panigrahi, B., Hoda, M., Sharma, V., et al. (eds.) Nature Inspired Computing. Advances in Intelligent Systems and Computing, vol. 652. Springer, Singapore (2018)
Gunther, E.J.M., Sliker, L.J.: A UHF RFID positioning system for use in warehouse navigation by employees with cognitive disability. Disabil. Rehabil. Assist. Technol. 12(8), 832–842 (2017). https://doi.org/10.1080/17483107.2016.1274342
Ying, J., Pahlavan, K., Li, X.: Precision of RSS-based indoor geolocation in IoT applications. In: IEEE 28th Annual International Symposium on Personal Indoor and Mobile Radio Communications, pp. 1–5 (2017)
Vashistha, A., Gupta, A., Law, C.L.: Self calibration of the anchor nodes for UWB-IR TDOA based indoor positioning system. In: IEEE 4th World Forum on Internet of Things (2018). https://doi.org/10.1109/wf-iot.2018.8355163
Grinyak, V.M., Grinyak, T.M., Tsybanov, P.A.: Indoor positioning using bluetooth devices. Territory New Opportunities 2(41) (2018)
Navigine — navigation and tracking of movements inside buildings. https://vc.ru/tribuna/11212-navigine. Accessed 18 Aug 2018
Astafiev, A.V., Orlov, A.A., Popov, D.P.: Development the algorithm of positioning industrial wares in-plant based on radio frequency identification for the products tracking systems. In: International Conference Information Technology and Nanotechnology. Session Image Processing, Geoinformation Technology and Information Security, vol. 1901, pp. 23–27 (2017)
Astafiev, A.V., Orlov, A.A., Privezencev, D.G.: Method of controlling the movement of large metal products with the use of algorithms for localization and recognition of bar code markings. In: Dynamics of Systems, Mechanisms and Machines, Dynamics (2016)
Orlov, A.A., Provotorov, A.V., Astafiev, A.V.: Methods and algorithms of automated two-stage visual recognition of metal-rolling billets. Autom. Remote Control 1099–1105 (2016). https://doi.org/10.1134/S000511791606014X
Zhiznyakov, A.L., Privezentsev, D.G., Zakharov, A.G.: Using fractal features of digital images for the detection of surface defects. Pattern Recogn. Image Anal. 25(1), 122–131 (2015)
Nhat, D.D.: Researches and application of RFID technology. Int. Res. J. 5, 34–37 (2015)
Kamozin, D.Y.: Comparison of the effectiveness of bar-code technology and RFID technology’s application in logistics processes. Bull. Baikal State Univ. 3, 71–75 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Astafiev, A.V., Orlov, A.A., Shardin, T.O. (2020). Technology of Building Movement Control Systems of Products in Warehouse Areas of Industrial Enterprises Using Radio Frequency Identification Methods. In: Radionov, A., Karandaev, A. (eds) Advances in Automation. RusAutoCon 2019. Lecture Notes in Electrical Engineering, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-030-39225-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-39225-3_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-39224-6
Online ISBN: 978-3-030-39225-3
eBook Packages: EngineeringEngineering (R0)