[1]周玉甲,郭利伟,李华章.智能道路环境监测预警方案设计与实施[J].常州大学学报(自然科学版),2022,34(04):82-92.[doi:10.3969/j.issn.2095-0411.2022.04.011]
　ZHOU Yujia,GUO Liwei,LI Huazhang.Design and Implementation of Intelligent Pavement Environmental Monitoring and Early Warning System[J].Journal of Changzhou University(Natural Science Edition),2022,34(04):82-92.[doi:10.3969/j.issn.2095-0411.2022.04.011]
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智能道路环境监测预警方案设计与实施()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
第34卷
期数:
2022年04期
页码:
82-92
栏目:
计算机与信息工程
出版日期:
2022-07-28

文章信息/Info

Title:
Design and Implementation of Intelligent Pavement Environmental Monitoring and Early Warning System
文章编号:
2095-0411(2022)04-0082-11
作者:
周玉甲1; 郭利伟1; 李华章2
(1.湖南交通职业技术学院机电工程学院,湖南长沙410132;2.湖南洋马信息有限责任公司,湖南长沙410205)
Author(s):
ZHOU Yujia1;  GUO Liwei1;  LI Huazhang2
(1.School of Mechanical and Electrical Engineering, Hunan Communication Engineering Polytechnic, Changsha 410132, China; 2.Hunan Yangma Information Co., Ltd., Changsha 410205, China)
关键词:
传感器;  道路环境;  监测平台;  智能预警
Keywords:
sensor;  pavement environment;  monitoring platform;  intelligent warning
分类号:
G 712
DOI:
10.3969/j.issn.2095-0411.2022.04.011
文献标志码:
A
摘要:
以道路环境为研究对象,提供了一整套软硬件结合的道路环境监测预警系统解决方案,通过不同类型道路环境参数的传感采集设备的设置,实时采集、传输、处理、分析监测数据,在传统传感设备基础上增加了基于机器视觉的AI图像识别技术,进行了多种道路信息融合,根据建立的预警模型提供分层级的智能预警,并可以通过智能预警平台实时输出相关数据及预警信息。通过总体规划设计,系统具有良好的扩展性与复用性,具有较高的效率与实用性。
Abstract:
Taking the pavement environment as the research object, this paper provides a complete set of pavement environment monitoring and early warning system solution combined with software and hardware, which collects, transmits, processes and analyzes the monitoring data in real time. The artificial intelligence image recognition technology based on machine vision is added on the basis of traditional sensing equipment as well. A variety of road information fusion is carried out. It also provides hierarchical early warning according to the established early warning model. And relevant data and early warning information can be checked on browser in real time through the intelligent early warning platform. Through planning and design, the system is endowed with good expansibility and reusability, high efficiency and practicability.

参考文献/References:

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[5] ALDEGHEISHEM A, YASMEEN H, MARYAM H, et al. Smart Road traffic accidents reduction strategy based on intelligent transportation systems(TARS)[J]. Sensors, 2018, 18(7): 1983.
[6] 任建宁, 高健, 秦孝良, 等. 基于传感器技术的渭南市道路环境颗粒物污染特征及影响因素研究[J]. 环境科学研究, 2021, 34(7): 1592-1601.
[7] 唐振羽, 吴亚刚, 李泽深. 基于BIM的智慧交通信息管理系统在城市道路运营中的应用[J]. 绍兴文理学院学报, 2021, 41(2): 29-36.
[8] 王霞. 基于无线传感网络的道路信息监测系统设计[J]. 信息通信, 2020, 33(9): 55-57.
[9] 张建新, 谈五洲. 移动式地质灾害信息管理系统建设[J]. 测绘技术装备, 2021, 23(1): 76-81.
[10] 秦登温. 路面传感器系统预警算法的设计与开发[D]. 南京: 东南大学, 2013.
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(责任编辑:李艳,周安迪)

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备注/Memo

备注/Memo:
收稿日期: 2021-12-29。
基金项目: 湖南省交通运输厅科技进步与创新计划资助项目(201921)。
作者简介: 周玉甲(1970—), 男, 湖南隆回人, 硕士, 讲师。 E-mail: 7336428@qq.com
更新日期/Last Update: 1900-01-01