边云协同的槽罐车运输全域感知与主动防控方案研究

Study of Edge-Cloud Collaborative Full-Situation Perception and of an Active Prevention and Control Plan for Tank Truck Transport

摘要

现在我国石油化工及基础化工类产业正以集群形式快速发展，由此带来的危险化学品运输需求也在不断上升，国家虽已就 危险品运输订立多项法规加以规范，但以槽罐车为核心的运输手段所涉安全隐患仍未根本解决，监管上仍有维度单一、动 态跟踪难、应急不及时一类的困难。针对现存的种种问题，文中提出以边云协同思路来构建槽罐车运输的全域感知和主动 防控机制，将国产加固边缘计算设备、异构多源传感技术、应急协同数据平台纳入考虑范围，使数据采集更完整、断网时 亦可做本地判断、预警及应对能以毫秒级完成，所提方案在安全、效率、成本上均有优势，是行业安全改进的可行方案， 亦可作智能化转型的参考实例。

Abstract

Currently, China’s petrochemical and basic chemical industries are rapidly developing in cluster forms, leading to a continuous rise in the demand for hazardous chemical transportation. Although the state has established multiple regulations to standardize hazardous material transport, safety risks associated with tank truck-based transportation methods remain unresolved. Regulatory challenges persist, including single-dimensional oversight, difficulties in dynamic tracking, and delayed emergency responses. To address these issues, this paper proposes a “edge-cloud collaboration” approach to build a comprehensive perception and proactive control mechanism for tank truck transportation. It incorporates domestically developed rugged edge computing devices, heterogeneous multi-source sensing technologies, and emergency collaborative data platforms, enabling more complete data collection, local decision-making during network outages, and millisecond-level warning and response capabilities. The proposed solution offers advantages in safety, efficiency, and cost, serving as a feasible industry safety improvement strategy and a reference example for intelligent transformation.

关键词

危化品运输 / 边云协同 / 全域感知 / 主动防控

Key words

hazardous chemical transportation / edge-cloud collaboration / omnidirectional perception / proactive prevention and control

参考文献

[1] 中国物流与采购联合会.中国危险品物流市场统计报告( 2023-2025)[R]. 2025.

[2] 中华人民共和国全国人大常委会. 中华人民共和国危险化学品安全法[S]. 2025.

[3] 交通运输部, 公安部,应急管理部. 危险货物道路运输企业安全管理规范(交运规〔2025〕6 号)[S].

[4] 中国科学院上海科技查新咨询中心. 边云协同的槽罐车运输全域感知与主动防控方案查新报告[R]. 2026.

基金资助

教育部设立的产学研创新基金有关的新一代信息技术项目《危化运输人车物全链路物联网安全监控预警平台设计与场景验证》(2024IT198)