S.N. Litvinov1, S. A. Ladanov2, E. I. Sheremet3

1 Ivanovo State Power Engineering University (Ivanovo, Russia)
2 OOO NPO "Tsifrovye izmeritel'nye transformatory" (Ivanovo, Russia)
3 OOO "NVK" (Moscow, Russia)
 

Currently, issues related to the optimization and automation of production processes are becoming more and more relevant. Formation of a personal work schedule based on the employee personal characteristics (to increase work productivity), creating conditions for safe work (monitoring compliance with safe work conditions, organizing access to work according to the personnel category), optimizing logistics, these and other tasks are designed to solve positioning systems. Modern positioning systems use various technologies to determine the position of an object. However, the creation and operation of such a system is not an easy task due to the peculiarities of its use in industry.

Goal – to analyze the known indoors positioning methods and to form requirements for the use of such technology in industry. For this such problems as battery life and scaling the system for several locations are taking into account and solved.

The requirements for positioning systems at industrial facilities are formulated. Modern methods of positioning in indoor application and open spaces are analyzed: ToF, AoA, R-TDoA, etc., their strengths and weaknesses are shown, and implementation features for use in industrial enterprises are indicated. The results of an experiment to determine the location inside the industrial premises using the developed prototypes of locators and tags are shown. Technical recommendations are given to reduce the energy consumption of the system, i.e. increasing the time of its autonomous operation, as well as scaling the system, and tasks have been formed for further study.

The presented analysis allows to choose a positioning method taking into account the specifics of the implementation of the technology for use in industrial enterprises. The results of the experiment to determine the location inside the industrial premises using the developed prototypes of locators and tags allowed us to formulate requirements for battery life, to develop a way to scale the system to several locations. These results can be used further to create a positioning system of high accuracy and autonomy, to increase the efficiency of the functioning of industrial enterprises.

Litvinov S.N., Ladanov S.A., Sheremet E.I. About the use features of the positioning systems at industry. Dynamics of complex systems. 2023. V. 17. № 2. P. 17−26. DOI: 10.18127/j19997493-202302-02 (in Russian).

1. Kozhanova V.N., Kokoreva E.V. Opredelenie mestopolozheniya s ispol'zovaniem tekhnologii Wi-Fi. SHag v nauku: Mate-rialy Mezhvuzovskoj nauch.-prakt. mul'tikonferencii dlya magistrantov i aspirantov, Novosibirsk, 08–09 dekabrya 2022 goda. Novosibirsk: Sibirskij gosudarstvennyj universitet telekommunikacij i informatiki, 2022. S. 167–173. DOI 10.55648/978-5-91434-081-7-2022-163-169. – EDN TGJHSV (in Russian).
2. Motroni A., Buffi A., Nepa P. A Survey on Indoor Vehicle Localization Through RFID Technology. IEEE Access. 2021. V. 9. P. 17921–17942. DOI: 10.1109/ACCESS.2021.3052316.
3. Al Mamun M.A., Rasit Yuce M. Map-Aided Fusion of IMU PDR and RSSI Fingerprinting for Improved Indoor Positioning. 2021. IEEE Sensors, Sydney, Australia. 2021. P. 1–4. DOI: 10.1109/SENSORS47087.2021.9639778.
4. Zou Y., Liu H. A Simple and Efficient Iterative Method for Toa Localization. ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain. 2020. P. 4881–4884. DOI: 10.1109/ICASSP40776.2020.9053746.
5. Seregin D.R., Belov Yu.S. Tekhnologii lokal'nogo pozicionirovaniya. Elektronnyj zhurnal: Nauka, tekhnika i obrazova-nie. 2017. № 1(10). S. 56–61. EDN YGKIPB (in Russian).
6. Wang A., Song Y. Improved SDS-TWR Ranging Technology in UWB Positioning. 2018 International Conference on Sensor Net-works and Signal Processing (SNSP). Xi'an, China. 2018. P. 222–225. DOI: 10.1109/SNSP.2018.00049.
7. Voronov R.V., Galov A.S., Moshchevikin A.P. i dr. Metod opredeleniya mestopolozheniya mobil'nyh ob"ektov v shahte. So-vremennye problemy nauki i obrazovaniya. 2014. № 4. S. 155. EDN STRMXF (in Russian).
8. Kupcov V.D., Fedotov A.A., Ivanov S.I., Badenko V.L. Ocenka koordinat ob"ektov v sistemah pozicionirovaniya pri rassinhronizacii bazovyh stancij po vremeni. Vserossijskij forum molodyh issledovatelej – 2022: Sbornik statej II Vse-ros. nauch.-prakt. konf., Petrozavodsk, 29 dekabrya 2022 goda. g. Petrozavodsk: Mezhdunarodnyj centr nauchnogo partnerstva «No-vaya Nauka» (IP Ivanovskaya I.I.). 2022. S. 114–123. EDN XRZHNW (in Russian).
9. Nguen D.A. Tekhnika pozicionirovaniya radiosignala i algoritmy pozicionirovaniya trilateracii. mul'tilateracii. Nauka i sovremennoe obshchestvo: aktual'nye voprosy, dostizheniya i innovacii: Sbornik statej VI Mezhdunar. nauch.-prakt. konf. Penza, 28 fevralya 2021 goda. Penza: «Nauka i Prosveshchenie» (IP Gulyaev G.YU.). 2021. S. 44–51. EDN WISFRR (in Russian).
10. Hua C., Zhao K., Dong D., Zheng Z., Yu C., Zhang Y., Zhao T. Multipath Map Method for TDOA Based Indoor Reverse Posi-tioning System with Improved Chan-Taylor Algorithm. Sensors (Basel). 2020 Jun. 5; № 20(11). P. 3223. DOI: 10.3390/s20113223. PMID: 32517133; PMCID: PMC7313693.
11. Novichkov A.R., Goncharov I.K., Egorushkin A.Yu., Fashchevskij N.N. Issledovanie tekhnologii sverhshirokopolosnyh ra-diosignalov dlya resheniya zadachi pozicionirovaniya vnutri pomeshchenij. Inzhenernyj zhurnal: nauka i innovacii. 2021. № 12(120). DOI 10.18698/2308-6033-2021-12-2140. EDN KRDIOU (in Russian).
12. Xu J., Ma M., Law C.L. Position Estimation Using UWB TDOA Measurements. 2006 IEEE International Conference on Ultra-Wideband, Waltham. MA. USA. 2006. P. 605-610. DOI: 10.1109/ICU.2006.281617.
13. Serov S.A., Kulikov R.S., Petuhov N.I. Ispol'zovanie mnogoluchevogo rasprostraneniya sverhshirokopolosnogo radio-signala dlya navigacii vnutri pomeshcheniya. Radiotekhnika. 2022. T. 86. № 11. S. 109−114. DOI: https://doi.org/10.18127/j00338486-202211-17 (in Russian).
14. Poudereux P., García E., Hernández A., García J.J., Ureña J. Performance comparison of a TDMA- and CDMA-based UWB Local Positioning System. International Conference on Indoor Positioning and Indoor Navigation, Montbeliard. France. 2013. P. 1–9, DOI: 10.1109/IPIN.2013.6817883.