基于物联网的煤矿粉尘监测云服务平台设计

Title

Design of coal mine dust monitoring cloud service platform based on Internet of Things
作者

郑林江周龙辉王杰李戬黄靖
Author

ZHENG Linjiang, ZHOU Longhui, WANG Jie, LI Jian, HUANG Jing
单位

重庆大学计算机学院重庆大学信息物理社会可信服务与计算教育部重点实验室中煤科工集团重庆研究院有限公司中国安全生产科学研究院
Organization

1.College of Computer Science, Chongqing University, Chongqing ,China;2.Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University, Chongqing ,China;3.Chongqing Research Institute of China Coal Technology and Engineering Group, Chongqing ; 4.China Academy of Safety Science and Technology, Beijing
摘要

针对煤矿粉尘现有检测手段时效性差、人为抽检易失实、不能连续监测等问题，引入物联网和云计算技术，设计并实现了基于物联网的煤矿粉尘监测云服务平台。平台通过集成一体化粉尘监测智能终端、实时粉尘数据采集与传输、粉尘大数据存储与管理、以及应用服务，形成了一种煤矿粉尘监测云服务模式，构建了粉尘大数据中心，提出了粉尘监测云服务应用。通过开发的平台，多级监管部门、企业和作业工人能够实时监测粉尘状态，达成扁平化、非现场实时连续监管的目的，从而提升了整个行业职业病危害监管服务水平。
Abstract

In order to solve the problem of coal dust with poor dust inspection timeliness, artificial sampling and uncontinuous monitoring, the Internet of Things and cloud computing technology were introduced, and the cloud service platform for coal mine dust monitoring based on the Internet of Things was designed and implemented. Through integration of integrated dust monitoring intelligent terminals, real-time dust data collection and transmission, dust big data storage and management, and application services, the platform has formed a coal mine dust monitoring cloud service model, constructed a dust big data center, and proposed the application of dust monitoring cloud service. Through the application of service platform, multi-level supervision departments, enterprises and workers can monitor dust status in real time, and achieve the purpose of flat, off-site and real-time supervision, thereby improving the supervision service level of the occupational disease hazards in whole industry.
关键词

粉尘监测物联网云计算云服务平台
KeyWords

dust monitoring; Internet of things; cloud computing;cloud service platform
基金项目(Foundation)

国家重点研发计划资助项目(2016YFC0801707，2017YFC0805208)
相关专题

这篇文章属于“煤矿安全+智能化”专题（33篇）
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