Open Access Article
Scientific Development Research . 2025; 5: (5) ; 27-29 ; DOI: 10.12208/j.sdr.20250190.
Research and development of an intelligent detection device for pavement anti-skid performance under rainy weather conditions
雨天环境下路面抗滑性能智能检测装置研发
作者:
姜健敏 *
贵港市皓胜互联网科技有限公司 广西贵港
*通讯作者:
姜健敏,单位:贵港市皓胜互联网科技有限公司 广西贵港;
发布时间: 2025-09-22 总浏览量: 11
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摘要
雨天对道路交通安全构成严重威胁,传统路面抗滑性能检测方法存在实时性差、操作繁琐和环境适应性差等问题。为提升雨天环境下道路安全管理的科学性与效率,本文聚焦于智能检测装置的研发,构建了一种基于多传感器融合与智能算法的雨天抗滑性能快速检测系统。该装置集成图像识别、滑移阻力测量与环境数据感知模块,可在不同雨强条件下对路面抗滑性能进行动态评估。实验结果表明,所研发装置具有检测精度高、反应速度快、环境适应能力强等优势,为道路管理部门提供了可视化、智能化的安全监测手段,为交通安全预警系统建设奠定了技术基础。
关键词: 抗滑性能;智能检测;雨天路面;多传感器融合;交通安全
Abstract
Rainy weather poses a severe threat to road traffic safety. Traditional pavement anti-skid performance detection methods suffer from problems such as poor real-time performance, cumbersome operation, and weak environmental adaptability. To enhance the scientificity and efficiency of road safety management under rainy weather conditions, this paper focuses on the research and development of an intelligent detection device, and constructs a rapid detection system for anti-skid performance in rainy weather based on multi-sensor fusion and intelligent algorithms. This device integrates modules for image recognition, slip resistance measurement, and environmental data sensing, enabling dynamic evaluation of pavement anti-skid performance under different rainfall intensities. Experimental results show that the developed device has advantages including high detection accuracy, fast response speed, and strong environmental adaptability. It provides road management departments with a visual and intelligent safety monitoring method, and lays a technical foundation for the construction of traffic safety early warning systems.
Key words: Anti-skid performance; Intelligent detection; Rainy pavement; Multi-sensor fusion; Traffic safety
参考文献 References
[1] 杨金戈. OGFC沥青面层施工中的抗滑性能提升技术研究[J].科技与创新,2025,(15):136-139.
[2] 田素英. 交通工程水泥路面抗滑性能优化研究[J].中国水泥,2025,(08):132-134.
[3] 宋丽萍. 高速公路沥青路面抗滑性能分析[J].交通企业管理,2025,40(04):107-109.
[4] 王红辉. 基于LSTM神经网络的沥青路面抗滑性能预测[J].城市道桥与防洪,2025,(07):291-297.
[5] 魏建国,胡隽婷,李平,等. 基于分异磨耗的沥青混合料抗滑性能研究[J/OL].中外公路,1-11[2025-08-19].
[6] 甄育红. 沥青路面抗滑性能试验与衰变预测研究[J].交通世界,2025,(18):36-38.
[7] 彭维弟. 公路混凝土路面抗滑性能提升策略[J].中国水泥,2025,(06):86-88.
[8] 吴辉. 不同沥青路面磨耗层抗滑性能实测研究[J].交通科技与管理,2025,6(11):137-139.
引用本文
姜健敏, 雨天环境下路面抗滑性能智能检测装置研发[J]. 科学发展研究, 2025; 5: (5) : 27-29.