Proceedings of the 5th International Conference on Management Science and Software Engineering (ICMSSE 2025)

Research on the Construction of Unmanned Vessel Efficiency Evaluation for Urban Flood Rescue

Authors
Xiaosheng Li1, *, Cheng Yang1
1Armed Police Officer School, HangZhou, China
*Corresponding author. Email: 2863560222@qq.com
Corresponding Author
Xiaosheng Li
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-958-2_24How to use a DOI?
Keywords
unmanned watercraft; effectiveness evaluation; Balanced Scorecard; Key Performance Indicator; Analytical Hierarchy Process; urban flooding rescue
Abstract

In order to cope with the challenge of the lack of an effectiveness evaluation system for unmanned vessels in urban flood rescue, the research aims to build a set of scientific and quantifiable evaluation models. Through the creative transformation of the Balanced Scorecard (BSC) theory, an evaluation framework was established that included four dimensions: resource utilization, rescue effect, task execution and learning innovation; the Key Performance Indicator (KPI) method was used to extract 13 specific measurable indicators; the Analytical Hierarchy Process (AHP) was used to determine the weight of each indicator to form a comprehensive performance calculation model, and the effectiveness of the model was verified through cases. The results show that the model weight system is scientific and reasonable, among which “communication link availability rate”, “target personnel discovery rate” and “equipment task integrity rate” are identified as the three core indicators; case verification confirms the practicability and effectiveness of the model in the comparison and selection of equipment solutions. Research shows that the constructed BSC-KPI-AHP fusion model not only provides a systematic theoretical framework and methodological tools for the evaluation of unmanned ship rescue effectiveness, but also has direct guiding value for accurate equipment selection and improvement of actual combat capabilities.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 5th International Conference on Management Science and Software Engineering (ICMSSE 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 December 2025
ISBN
978-94-6463-958-2
ISSN
1951-6851
DOI
10.2991/978-94-6463-958-2_24How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xiaosheng Li
AU  - Cheng Yang
PY  - 2025
DA  - 2025/12/26
TI  - Research on the Construction of Unmanned Vessel Efficiency Evaluation for Urban Flood Rescue
BT  - Proceedings of the 5th International Conference on Management Science and Software Engineering (ICMSSE 2025)
PB  - Atlantis Press
SP  - 208
EP  - 223
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-958-2_24
DO  - 10.2991/978-94-6463-958-2_24
ID  - Li2025
ER  -