Abstract
This paper aims to present the SIAD-AERO Project. The Project has the objective to develop a semiautonomous system for energy assets inspection, capable to deploy embedded sensors in an aerial platform, to capture and process images in the visible, infrared and ultraviolet bands, detecting anomalies automatically and presenting an optimal plan of action. A better quality of service and operational efficiency were the premises guiding the project. The initial requirements for the system have been included and described, as well as a description of the designed system, which includes its four subsystems and its development methodology using Feature Driven Development (FDD). The achieved results are presented, discussing the paradigms broken during the project’s development.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
France, R., Rumpe, B.: Model-driven development of complex software: a research roadmap. In: 2007 Proceeding of Future of Software Engineering, FOSE 2007, pp. 37–54. IEEE Computer Society, Washington, DC. https://doi.org/10.1109/fose.2007.14, ISBN 0-7695-2829-5
Highsmith, J., Cockbur, A.: Agile software development: the business of innovation. IEEE Comput. 34(9) (2001). https://doi.org/10.1109/2.947100, ISSN 0018-9162
Schmidt, D.C.: Model-driven engineering. IEEE Comput. 39(2), 25–31 (2006). ISSN 0018-9162
Palmer, S.R., Felsing, M.: A Practical Guide to Feature-Driven Development. Pearson Education (2001). ISBN 0130676152
Eden, C., Ackermann, F.: Group decision and negotiation in strategy making. Group Decis. Negot. 10, 119–140 (2001)
Eden, C., Ackermann, F.: SODA: the principles. In: Rosenhead, J., Mingers, J. (eds.) Rational analysis for a problematic world revisited: problem-structuring methods for uncertainty and conflict, pp. 21–41. Wiley, Chichester (2001)
United States of America. Test and Evaluation Management Guide, 6th edn. Department of Defense, Washington (2012). Accessed 15 Jan 2017
Sargent, R.G.: Verification and validation of simulation models. In: 2007 Proceedings of Winter Simulation Conference, Syracuse, pp. 124–137. IEEE, Syracuse (2007)
Montgomery, D.C.: Design and Analysis of Experiment, 7th edn. Wiley, Hoboken (2008)
Kleijnen, J.P.C., et al.: A user’s guide to the brave new world of designing simulation experiments: state-of-the-art review. In-forms: J. Comput., 263–289 (2005)
Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., Guadarrama, S., Murphy, K.: Speed/accuracy trade-offs for modern convolutional object detectors. In: IEEE CVPR, vol. 4, July 2017
Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91–99 (2015)
Acknowledgments
Authors and researchers would like to thank stakeholders for their trust and partnership in the development of this Project, especially for ANEEL, EDP Brazil Group, ITA and ENERGIAS.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Dominice, A., Abrahão, F.T., Tavares, R.A., Barreto, A. (2020). SIAD-AERO: A New Methodology for the Inspection of Energy Assets. In: Németh, B. (eds) Proceedings of the 21st International Symposium on High Voltage Engineering. ISH 2019. Lecture Notes in Electrical Engineering, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-030-31676-1_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-31676-1_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-31675-4
Online ISBN: 978-3-030-31676-1
eBook Packages: EngineeringEngineering (R0)