基于轨道机器人技术的交通预警巡查系统研究
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李洪宇,沈钢,于显超
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浙江省交通集团高速公路绍兴管理中心，浙江绍兴，312000
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摘要：近年来，随着物联网、云计算、大数据、移动互联网、区块链等新一代信息技术的不断革新，智慧交通产业正朝着集成化、智能化方向迅猛发展。先期，国务院发布《交通强国建设纲要》，明确提出大力发展智慧交通，推动大数据、互联网、人工智能、区块链、超级计算等新技术与交通行业深度融合，推进数据资源赋能交通发展。在这样的背景下，以移动机器人配合轨道、护栏等约束，实现快速移动、异常情况发现提醒、事故发生后替代人员和预警车赶赴现场提供声光、文字预警的智能终端产品，在智慧交通领域得到了越来越广泛的尝试和应用。本文深入研究基于轨道机器人技术的交通预警巡查系统，阐述其系统设计概况、软件设计、硬件设计等方面，旨在为智慧交通管控水平的提升提供有力支持。
关健词：物联网；机器人；智能巡查；智慧预警 |
Research on Traffic Warning Patrol System Based on Track Robot Technology
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Hongyu Li,Gang Shen,Xianchao Yu
Zhejiang Provincial Transportation Group Expressway Shaoxing Management Center, Shaoxing, Zhejiang, 312000 , China
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Abstract：In recent years, with the continuous innovation of new-generation information technologies such as the Internet of Things,cloud computing, big data, mobile Internet, and blockchain, the intelligent transportation industry is developing rapidly towards integration and intelligence. Previously, the State Council issued the"Outline for Building a Strong Transportation Nation", clearly stating that it is necessary to vigorously develop intelligent transportation, promote the in-depth integration of new technologies such as big data, the Internet, artificial intelligence, blockchain, and supercomputing with the transportation industry, and promote the empowerment of transportation development by data resources. Against this backdrop, intelligent terminal products that use mobile robots in conjunction with tracks, guardrails, and other constraints to achieve rapid movement, abnormal situation detection and alerts, and on-site replacement of personnel and warning vehicles after accidents to provide audio-visual and text warnings have been increasingly widely tried and applied in the field of intelligent transportation. This paper conducts in-depth research on the intelligent transportation warning and inspection system based on track robot technology, elaborating on its system design overview, software design, hardware design, etc., aiming to provide strong support for the improvement of intelligent transportation control levels.
Keywords : Internet of Things; Robot; Intelligent Inspection; Smart Early Warning
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