Research on the route of electric patrol car based on spiral motion model

The rapid growth of photovoltaic (PV) energy has made heliostat fields essential in industrial aspects. They served as key devices for collecting and focusing solar power. How to ensure the inspecting equipment of the heliostat works efficiently in their worksite, however, has become a challenging task since the enlargement of size and complexity of our heliostat. In this study, a path-planning method based on equidistant solenoids was delivered, enabling the kart to inspect more efficiently and reducing the risk of impact. This paper improves inspection efficiency by planning the shortest route and reducing turning times, by constructing the Archimedean Spiral Motion Model and optimizing it using a binary method.According to our research, the kart we applied to this method can run smoothly, in other words, at constant speed. This paper has cut 30% of inspection time and reduced the impact risk with the heliostat. Our algorithm has effectively alerted over 90% of the underlying impact situation, which massively increased the safety and stability of the system. The research has supported a reliable technical basis in intelligent inspection in the PV energy field.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2024-11-23
DOI
https://doi.org/10.54097/z65t5119
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Research on the route of electric patrol car based on spiral motion model

Xuefeng Wu, Zhenyue Zhou, Xinyue Yang, Zhe Cao et al.
Highlights in Science Engineering and Technology
Robotic Path Planning Algorithms
article

Research on the route of electric patrol car based on spiral motion model

Xuefeng Wu, Zhenyue Zhou, Xinyue Yang, Zhe Cao, Chenkun Lv
article en

Abstract

The rapid growth of photovoltaic (PV) energy has made heliostat fields essential in industrial aspects. They served as key devices for collecting and focusing solar power. How to ensure the inspecting equipment of the heliostat works efficiently in their worksite, however, has become a challenging task since the enlargement of size and complexity of our heliostat. In this study, a path-planning method based on equidistant solenoids was delivered, enabling the kart to inspect more efficiently and reducing the risk of impact. This paper improves inspection efficiency by planning the shortest route and reducing turning times, by constructing the Archimedean Spiral Motion Model and optimizing it using a binary method.According to our research, the kart we applied to this method can run smoothly, in other words, at constant speed. This paper has cut 30% of inspection time and reduced the impact risk with the heliostat. Our algorithm has effectively alerted over 90% of the underlying impact situation, which massively increased the safety and stability of the system. The research has supported a reliable technical basis in intelligent inspection in the PV energy field.

Highlights in Science Engineering and TechnologyVol. 118
Shanghai University of Electric Power (CN)
Openalex Percentile: Top 79%
Robotic Path Planning Algorithms
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Research on the route of electric patrol car based on spiral motion model — Xuefeng Wu, Zhenyue Zhou, et al. · Highlights in Science Engineering and Technology (2024) | TGRS Research Map | TGRS