Abstract
The paper presents the steps of creating an experimental prototype of an autonomous mobile robot for coastal monitoring and forecasting marine natural disasters. These systems of continuous coastal monitoring are the necessary link in predicting possibilities of developing the resources of the Russian shelf (areas of the Arctic and the Far East). One of the most difficult issues, associated with the creation of the described product, is to ensure the necessary level of mobility in inaccessible areas of coastal zones. This problem is solved by development of the chassis of modular design with the possibility to be reequipped with different types of movers (wheeled, tracked, rotary-screw), depending on operating conditions and the physical and mechanical characteristics of the ground surfaces. The presented robotic complex is also equipped with a set of measuring instruments (circular scanning radar, weather station, navigation system, lidars, video cameras), which allows to carry out comprehensive studies of any coastal zone and evaluate the risks and hazards for providing data for engineering simulation of hydraulic systems and structures. The results of experimental investigations of the coastal zone in the south-east of Sakhalin Island, using the developed experimental prototype of the autonomous mobile robot, are given.
You have full access to this open access chapter, Download conference paper PDF
Similar content being viewed by others
Keywords
Introduction
To carry out coastal zone monitoring, which can be connected with the measurement of the wave climate, ice conditions, the dynamics of spread of pollutants in inaccessible places, is necessary to have reliable means to rapidly take the measurements over a large area. Undoubtedly, the task of evaluating the possible hazards in providing oil and gas production in coastal and offshore fields is extremely important for the Russian Federation.
The use of vehicles and mobile robots with the production of such measurements is very promising [1, p. 2; 2, p. 50; 3,p. 566; 4, p. 89; 5, p. 215; 6, p. 1; 7, p. 7; 8, p. 2]. Radar systems (with some modifications) are applicable as means for carrying out hydrodynamic measurement and assessment of hazards in a coastal zone, determine the velocity and size of drift ice.
The necessity of using radar systems in remote areas requires from the vehicle’s structure to be able to adapt to a wide range of operating conditions. A possible solution to this problem is the use of different types of interchangeable movers (wheeled, tracked and rotary-screw) for the expansion of the range of operating conditions.
Development of the Autonomous Mobile Robotic System
The project aims to develop a set of scientific and technical solutions in the field of autonomous mobile robotic system (AMRS) for monitoring and forecasting the state of the environment in order to ensure the reliability and safety of hydraulic structures in coastal zones.
In accordance with the intended purpose the following research objectives were formulated:
-
1.
Investigation of physical and mechanical properties of ground surfaces of coastal areas and interaction of different types of movers with terrain, conducting mathematical modeling of the AMRS movement in conditions of coastal zones, selection of the parameters for designing mobile chassis with interchangeable movers (wheeled, tracked, rotary-screw).
-
2.
Development of a list the necessary measurement and research equipment to be installed on AMRS, allowing to monitor coastal zones with the maximum adaptability to the environment.
-
3.
Development of software for the operation of the measuring equipment of the AMRS experimental prototype and its unmanned control system.
-
4.
Development of design documentation, creation of the experimental prototype and conducting experimental tests of the AMRS on the Gulf of Mordvinov (Sea of Okhotsk, Sakhalin Island).
The first step in designing calculations of the AMRS experimental prototype was correct account of special characteristics of ground surfaces of the coastal zones. For this purpose with the support of Special Research Bureau for Automation of Marine Researches (SRB AMR, Sakhalin Region, Yuzhno-Sakhalinsk, Russian Federation) experimental studies of topography and physical and mechanical properties of the coastal areas were conducted by the group of authors. The obtained data were used to develop new statistical models of surfaces of coastal areas to predict the ways of ensuring the efficiency of the mobile robot [9, p. 16; 10, p. 528].
The next step was the implementation of the design calculations and simulation of vehicle-terrain interaction in conditions of the coastal areas. As a result there were selected parameters for designing AMRS’s chassis. [11, p. 78; 12, p. 46; 13, p. 940; 14, p. 6].
AMRS uses the navigation equipment of Orient Systems Company. It consists of a high-precision mobile GPS/GLONASS receiver (OC-103), mounted on the chassis, and a base station installed on the ground. The base station (OC-203) transmits the amendments to AMRS’s receiver to increase the accuracy of positioning. Navigation equipment is used to obtain the coordinates of the AMRS and bind measured characteristics to a point on the map.
For remote sensing of water surface AMRS uses Omni Directional Radar MRS-1000. The ability to determine the parameters of sea waves by means of the ship’s radar is justified by authors in [15, p. 91; 9, p. 13; 16, p. 30].
To monitor the weather conditions of the coastal zones the weather station Vaisala WXT520, which allows to measure the temperature, wind speed and direction, humidity, pressure, precipitation, is used.
For videofixing of waves in addition to data obtained from the radar the AMRS is equipped with a video camera AXIS Q6045-E, which creates a synchronized video stream. This camera is to be also used for AMRS’s remote control system.
In order to detect obstacles on the path the AMRS uses laser scanning system, which is a continuously rotating platform with two lidars Sick LMS291Pro.
The board computer Adlink MXE-5400 is set on the AMRS for controlling instrumentation, data collection, data storage and processing. The laptop Panasonic Toughbook CF-31WEUAHM9 is used to remotely connect to AMRS’s onboard computer by Wi-Fi, view the data on state of the measuring equipment and send instrumentation commands.
Description of the structure and capabilities of developed software for functioning the measuring equipment of the AMRS experimental prototype and its unmanned control system is presented in [17, p. 6; 10, p. 526].
General views of created experimental prototype are shown in Fig. 1, and the technical characteristics of AMRS’s chassis are summarized in Table 1. The modular AMRS’s design allows adapting the layout of the chassis depending on the task and modifying its individual units in accordance with the requirements of the end consumer.
The AMRS prototype was tested in field conditions in the area of the south-eastern coast of Sakhalin Island (Cape Svobodny) in May–June 2016 with the support of SRB AMR FEB RAS.
During experimental investigations there were conducted measurements of the sea surface and atmosphere: the intensity of the reflection of radio signal from waves of the sea (Fig. 2), air pressure, temperature, relative humidity, wind direction and speed. The results of processing the received dependences between the reflected intensity of the radio signal and distance to the point of the AMRS position are described in [9, p. 14].
When studying the efficiency of the AMRS experimental prototype, the quality of standard maneuvers in the remotely controlled (Fig. 3) and autonomous modes was assessed. The probability of failure and time of equipment operation were also investigated.
Trafficability tests showed that approach of using interchangeable movers allows raising essentially the possibility of the AMRS and significantly expanding the area of its territorial use.
Conclusions
The article describes the main stages of research and approaches to the practical implementation of its results in the creation of the AMRS experimental prototype, used for unmanned coastal monitoring.
Design features of the developed AMRS for specific operating conditions, description of measuring equipment and sensors of unmanned control system have been presented.
In the design, the approach of predicting mobility and determining optimal modes of functioning of the AMRS on preliminarily studied routes of coastal zones has been used.
The results of experimental studies confirm the efficiency of the AMRS for measuring of sea waves, obtaining environmental data, performing typical maneuvers and driving in conditions of coastal zones. The decisive contribution to ensuring the necessary level of AMRS mobility according to terrain characteristics makes the choice of the type of mover.
Thus, the project provides a complete solution to the problem associated with the development of a new kind of AMRSs for coastal monitoring, supplying data for the assessment of hazards and engineering simulation of hydraulic systems and structures.
The results make a significant contribution to the creation methods of unmanned vehicles for monitoring natural objects, emergencies and special operations.
References
Barber, D.M., Mills, J.P.: Vehicle based waveform laser scanning in a coastal environment. In: The 5th International Symposium on Mobile Mapping Technology, Pradua, Italy, 29–31 May 2007
Bio, A., Bastos, L., Granja, H., Pinho, J.L.S., Gonçalves, J.A., Henriques, R., Madeira, S., Magalhães, A., Rodrigues, D.: Methods for coastal monitoring and erosion risk assessment: two Portuguese case studies. J. Integr. Coast. Zone Manag. 15(1), 47–63 (2015)
Didier, D., Bernatchez, P., Boucher-Brossard, G., Lambert, A., Fraser, C., Barnett, R.L., Van-Wierts, S.: Coastal flood assessment based on field debris measurements and wave runup empirical model. J. Mar. Sci. Eng. 3, 560–590 (2015)
Incoul, A., Nuttens, T., De Maeyer, P., Seube, N., Stal, C., Touzé, T., De Wulf, A.: Mobile laser scanning of intertidal zones of beaches using an amphibious vehicle. In: INGEO 2014: 6th International Conference on Engineering Surveying, Prague, Czech Republic, 3–4 April 2014. Slovenská Technická Univerzita v Bratislave. Stavebná Fakulta, pp. 87–92 (2014).
Kramer, J., Hunter, G.: Performance of the StreetMapper mobile LiDAR mapping system in “Real World” Projects. Photogrammetric Week ’07, pp. 215–225 (2007)
Serra, A., Baron, A., Bosch, E., Alamus, A., Kornus, W., Ruiz, A., Talaya, J.: GEOMOBIL: Integration y experiencias de Lidar Terrestre en LB-MMS // Setmana Geomatica. Barcelona. Spain (2005)
Ussyshkin V. Mobile laser scanning technology for surveying applications: from data collection to end-products. In: Proceedings of FIG Working Group, Eilat, Israel, 3–8 May 2009
Wübbold, F., Hentschel, M., Vousdoukas, M., Wagner, B.: Application of an autonomous robot for the collection of nearshore topographic and hydrodynamic measurements. Coastal Eng. Proc. 1(33) (2012). doi:10.9753/icce.v33.management.53
Kurkin, A.A., Zeziulin, D.V., Makarov, V.S., Zaitsev, A.I., Belyaev, A.M., Beresnev, P.O., Belyakov, V.V., Pelinovsky, E.N., Tyugin, D.Yu. Investigations of coastal areas of the Okhotsk Sea using a ground mobile robot. Ecol. Syst. Devices. 8, 11–17 (2016)
Makarov, V., Kurkin, A., Zeziulin, D., Belyakov, V.: Development of chassis of robotic system for coastal monitoring. In: Proceedings of the 13th European Conference of the International Society for Terrain-Vehicle Systems, Rome, Italy, pp. 524–529 (2015)
Kurkin, A., Belyakov, V., Makarov, V., Zeziulin, D., Pelinovsky, E.: Methods of tsunami detection and of post-tsunami surveys. Sci. Tsunami Hazards. 35(2), 68–83 (2016)
Kurkin, A.A., Pelinovsky, E.N., Belyakov, V.V., Makarov, V.S., Zezyulin, D.V.: New trends in tsunami research. Ecol. Syst. Devices. 12, 40–55 (2014)
Kurkin, A., Pelinovsky, E., Tyugin, D., Giniyatullin, A., Kurkina, O., Belyakov, V., Makarov, V., Zeziulin, D., Kuznetsov, K.: Autonomous robotic system for coastal monitoring. In: Proceedings of the 12th International Conference on the Mediterranean Coastal Environment MEDCOAST, V. 2, 933–944 (2015)
Zeziulin, D., Beresnev, P., Filatov, V., Makarov, V., Kurkin, A., Belyakov, V.: Development of an unmanned ground vehicle for coastal monitoring. In: Proceedings of the ISTVS 8th Americas Regional Conference, Detroit, MI, 12–14 Sept, p. 75 (2016)
Garbatsevith, V.A., Ermoshkin, A.V., Ivanov, I.I., Telegin, V.A.: Use low power marine radar x—band to measure the spatial-temporal characteristics of the ocean wave. Heliogeophys. Res. 13, 91–96 (2015)
Tikhonchuk, E.A., Zaitsev, A.I., Filatov, V.I.: The study of ice drift in Okhotsk sea with radar. Ecol. Syst. Devices. 8, 29–34 (2016)
Belyaev, A.M., Belyakov, V.V., Beresnev, P.O., Kurkin, A.A., Pelinovsky, E.N., Tyugin, D.Yu., Filatov, V.I.: Mobile robotic system for coastal monitoring. Ecol. Syst. Devices 8, 3–10 (2016)
Acknowledgments
Research are carried out with the financial support of the state represented by the Ministry of Education and Science of the Russian Federation. Agreement No. 14.574.21.0089 16.Jul 2014 Unique project Identifier: RFMEFI57414X0089
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
This chapter is published under an open access license. Please check the 'Copyright Information' section either on this page or in the PDF for details of this license and what re-use is permitted. If your intended use exceeds what is permitted by the license or if you are unable to locate the licence and re-use information, please contact the Rights and Permissions team.
Copyright information
© 2018 The Author(s)
About this paper
Cite this paper
Belyakov, V.V. et al. (2018). Autonomous Mobile Robotic System for Coastal Monitoring and Forecasting Marine Natural Disasters. In: Anisimov, K., et al. Proceedings of the Scientific-Practical Conference "Research and Development - 2016". Springer, Cham. https://doi.org/10.1007/978-3-319-62870-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-62870-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62869-1
Online ISBN: 978-3-319-62870-7
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)