Modeling of a Forest Monitoring System to Control the Movement of Forest Materials Based on Radio-frequency Method

Abstract

Introduction. The article discusses the topical problem of designing a specialized forest resources tracking system. The analysis of domestic and foreign literature on the creation of monitoring information systems is carried out. One of the requirements for the system should take into account the instantaneous receipt of information about the state of the forest environment, take into account the specificity of the variability of many parameters of the forest environment, which may vary to a large extent, compliance with many rules regulated by legislation in the field of forest management. On the basis of the requirements presented the system of RFID-devices. Materials and methods. The materials used were wireless sensors, an information system for information collection and notification. Methodological work is based on the theory of radio waves propagation of different frequencies, mathematical statistics and experimental theory. Results. The results of the research are radio waves passing through a certain number of obstacles in the forest area, reflecting their geometric dimensions, determined by the parameter characterizing the occupancy of the channel resource, necessary for the transfer of information. Discussions and conclusions. The scientific novelty of the researches offers an information system of control over the forest resources, the monitoring of which is carried out continuously, taking into account all the necessary requirements, namely: the absence of harmful radiation, efficiency, energy consumption, durability, the propagation of radio waves at not prohibited frequencies for the Russian Federation, the definition of natural parameters, the detection of movement, the detection of fire at the initial stage.

References
[1] Sannikov, S.P., Hertz, E.F., Dyachkova, A.A. (2016). Methodology of remote monitoring of woodstands and wood transport flows. Forestry journal, pp. 109–115. Arkhangelsk, S(A)FU. Retrieved from: http: //narfu.ru/university/library/books/2780.pdf (contact date: 20.10.2018).

[2] Pobedinskiy, A.A. (2018). Justification of parameters of the system of radio-frequency monitoring of the forest fund. PhD dissertation thesis. Yekaterinburg, 18 p.

[3] Giuli. (1985) Polarization diversity in radars. IEEE, vol. 74, no. 2.

[4] Sannikov, S.P. (2015). Fundamentals of the automated control of the timber movement using the RFID devices integrated into the local wireless network. Modern problems of science and education, no. 1–1. Retrieved from: http://www.science-education.ru/121-18960 URL: http://elibrary.ru/download/51177804. pdf (accessed on 19.09.2018).

[5] Technologies for tracking the movement of wood products. Supply chain control and monitoring in the forest industry. World Wildlife Fund. (2004). Moscow, p. 68. Retrieved from: http://www.wwf.ru (accessed on 19.09.2018).

[6] American National Standard ANSI/PMI 99-001-2004. (2013). A Guide to the Project Management Body of Knowledge (PMBOK Guide). 5th edition of the Project Management Institute, p. 614. Retrieved from: http://pm-files.com/sites/default/files/file/C/C-1/C-1-1/pmbok_5th_2013_rus.pdf

[7] Drumlic, M., Iovanovich-Kurepa, M. (1982). Automatic monitoring system for observation of air pollution in air basins. Moscow, p. 14.

[8] Petrova, N.P., Popov, N.S., Luzgachev, V.A. (2014). To the methodology of the environmental monitoring systems design. TSU Bulletin, vol. 19, iss. 5. pp. 1712−1716.

[9] Vasin, V.V., Stepanov, B.M. (1977). Zadachnik on radiolocation. Moscow: Soviet Radio, p. 321.

[10] Pobedinskiy, V.V., Gazizov, A.M., Sannikov, S.P., Pobedinskiy, A.A. (2018). Dielectric permeability of the forest fund depending on the environment parameters at the radio-frequency monitoring. Vestnik. Mord. unit., vol. 28, no. 2, pp. 148–163. DOI: https://doi.org/10.15507/0236-2910.028. 201802.148-163.

[11] Pobedinskiy, V.V., Kruchininin, I.N., Pobedinskiy, A.A. (2018). Intellectual system of determination of forest environment dielectric permeability at radio frequency monitoring. Izvestiya Samara Scientific Center of the Russian Academy of Sciences, vol. 20, no. 6(2), pp. 383–390.

[12] Richter, J., Caldeirinha, R.F.S., Al-Nuaimi, M.O., Seville, A., Rogers, N.C., Savage, N. (2005). A generic narrowband model for radiowave propagation through vegetation, 2005 IEEE. 61st Vehicular Technology Conference (VTC 2005-Spring), vol. 1, pp. 39–43 (30 May–1 June).

[13] Hashim, M.H., Stavrou, S. (2006). Wind influence on radiowaves propagating through vegetation at 1.8GHz. IEEE Antennas and Wireless Propagation Letters, vol. 4, 143–146.

[14] Lloret, J., Garcia, M., Bri D., Sendra, S. (2009). A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification. Sensors, no. 9, pp. 8722–8747. Retrieved from: http://www.mdpi. com

[15] Doolin, D.M., Sitar, N. (2005). Wireless sensors for wildfire monitoring. In Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, San Diego, CA, USA (7 May).

[16] Lloret, J., Tomas, J., Garcia, M., Canovas, A. (2009). A hybrid stochastic approach for self-location of wireless sensors in indoor environments. Sensors, no. 9, pp. 3695–3712.

[17] Gay-Fernandez, J.A., Sanchez, M.G., Cuinas, I., Alejos, A.V. (2010). Propagation Analysis and Deployment of a Wireless sensor Network in a Forest. In Electromagnetics Research, vol. 106, pp. 121–145. Retrieved from: http://www.jpier.org

[18] Meng, Y.S., Lee, Y.H., Ng, B.C. (2010). Path loss Modeling for Near-ground VHF Radio-wave Propagation through Forests with Tree-Canopy reflection Effect. Progress In Electromagnetics Research, vol. 12, pp. 131–141.

[19] Standards of series IEEE 802. Retrieved from: http://tomas02.narod.ru (20.05.2013).

[20] Forest Code of the Russian Federation. Retrieved from: http://www.leskod.ru.