Abstract
Laws and policies require that landfills and disposal sites be monitored to protect public health and safety from potential explosion hazards owing to underground gas migration and diffusion. This paper aims to measure and map gas distribution in surface soil. Since some current algorithms have their own advantages and disadvantages, several methods are integrated into a compound algorithm to measure gas concentration, to track odour and localize gas source. Simulations are performed to validate the availability of the proposed method. To be aware of whole gas distribution field, a mobile robot governed by the proposed method measured the concentration values step by step and generated a sequence of small concentration maps. Then by revolving the small maps the whole gas concentration map is built. Results demonstrated that the mapped gas concentration field is satisfied.
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
Abaci, S., Edwards, J.S.: Migration of methane and leachate from landfill. In: International Conference on Environmental Management, Geo-Water and Engineering Aspects, pp. 347–350, Taylor & Francis, Inc., Wollongong (1992)
Russell, R.A.: Chemical source location and the RoboMole project. In: Australasian Conference on Robotics and Automation, CD-ROM Proceedings, pp. 1–6 (2003). ISBN 0-9587583-5-2
Russell, R.A.: Robotic location of underground chemical sources. Robotica 22(1), 109–115 (2004)
Russell, R. A.: Locating Underground Chemical Sources by tracking Chemical Gradients in 3 Dimensions. In: International Conference on Intelligent Robots and Systems, IEEE/RSJ, pp. 325–330, 28 September–2 October 2004
Wang, J., Ji, J.L., Chen, W.D.: Behavior-feature-based dynamic variant step-size odor search algorithm for mobile robot. J. Syst. Simul. 24(17), 5427–5430, 5435 (2009)
Wang, J., Chen, Z., Lei, Z.: Olfaction threshold based thought of micro-steps accumulation and its application on odor source search. IEEE Sens. J. 18(17), 7294–7304 (2018)
Chen, Z., Wang, J.: Underground odor source detection based on a variation of lower organism search behavior. IEEE Sens. J. 17(18), 5963–5970 (2017)
Lu, G.D., Zhang, M.L.: A biological-inspired gas/odor source localization strategy for mobile robot. J. Hebei Univ. Technol. 39(5), 48–52 (2010)
Xie, Y.C., Pan, X.Y., Wang, J.: An odor source searching strategy on the base of detected concentration polygon. Comput. Sci. 24(S1), 112–114 (2015)
Xie, H.T., Zhang, C.Z., Xu, F., et al.: Concentration levels and spatial distribution of heavy metals in soil surrounding a municipal solid waste incineration plant (Shenzhen). Environ. Sci. 35(4), 1523–1530 (2014)
Li, X.X., Zhang, B., Wan, Z.M., et al.: Application of golden software Voxler in the investigation and health risk assessment for contaminated site. Sci. Technol. Eng. 17(8), 317–323 (2017)
Gonzalez-Jimenez, J., Monroy, J.G., Blanco, J.L.: An improved olfaction sensor for mobile robotics. Sensors 11, 6145–6164 (2011)
Wang, Y., Meng, Q.H., Li, T., et al.: Single-robot odor source localization in a ventilated indoor environment using simulated annealing algorithm. Robot 35(3), 283–291 (2013)
Lay-Ekuakille, A., Trotta, A.: Predicting VOC concentration measurements: cognitive approach for sensor networks. IEEE Sens. J. 11(11), 3023–3030 (2011)
Acknowledgment
The authors would like to thank the anonymous reviewers for their invaluable comments, which improved this manuscript. This research is supported by National Natural Science Foundation of China (Grant No. 61672371).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Lei, Z., Zhou, M., Wang, J., Fu, B. (2020). Mobile Robot-Based Measuring and Mapping of Gas Distribution in Surface Soil. In: Park, J., Yang, L., Jeong, YS., Hao, F. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2019 2019. Lecture Notes in Electrical Engineering, vol 590. Springer, Singapore. https://doi.org/10.1007/978-981-32-9244-4_28
Download citation
DOI: https://doi.org/10.1007/978-981-32-9244-4_28
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9243-7
Online ISBN: 978-981-32-9244-4
eBook Packages: EngineeringEngineering (R0)