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Data analysis and management system design of contaminated site based on intelligent data acquisition vehicle and 5G communication
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-19 , DOI: 10.1002/dac.4555
Shuyuan Zhang 1 , Quanguo Cheng 1
Affiliation  

The integration of information is an important feature of the fourth industrial revolution, and the interconnection of all things is permeating the world at an amazing speed. In 2019, 5G communication technology has started to be commercialized in the world. Its high transmission speed, low delay, high reliability, and other technical features provide technical support for the application of intelligent driving vehicle technology. In a specific environment, such as tunnels, deserts, and dangerous areas, if the traditional manual method is used to collect environmental data, it is difficult to achieve, and the operability is not strong, and even there will be security risks. Intelligent car has intelligent mechanism such as identification, detection, and environmental data collection, it can replace human work in bad conditions, and it has broad application prospects. Compared with the traditional manual acquisition method, the intelligent data acquisition vehicle is more operable and practical, the difficulty of environmental data acquisition is greatly reduced, and the implementation cost is generally lower than the manual acquisition method. In this paper, an intelligent collection vehicle system based on 5G communication technology is constructed and applied to the data analysis of polluted sites. At the same time, this paper constructs a data analysis and management system based on hardware structure. The experimental results show that the method proposed in this paper can effectively analyze the data of polluted sites and has strong practicability.

中文翻译:

基于智能数据采集车和5G通信的污染场地数据分析与管理系统设计

信息集成是第四次工业革命的重要特征,万物互联以惊人的速度渗透到世界。在2019年,5G通信技术已开始在世界范围内商业化。其高传输速度,低延迟,高可靠性等技术特点为智能驾驶汽车技术的应用提供了技术支撑。在特定的环境中,例如隧道,沙漠和危险区域,如果使用传统的手动方法来收集环境数据,将很难实现,并且可操作性不强,甚至存在安全隐患。智能汽车具有识别,检测和环境数据收集等智能机制,可以代替恶劣条件下的人工工作,具有广阔的应用前景。与传统的人工采集方法相比,智能数据采集工具更具操作性和实用性,大大降低了环境数据采集的难度,实现成本一般低于人工采集方法。本文构建了一种基于5G通信技术的智能采集车系统,并将其应用于污染场地的数据分析。同时,构建了基于硬件结构的数据分析与管理系统。实验结果表明,该方法可以有效地分析污染场地数据,具有较强的实用性。智能数据采集工具更具操作性和实用性,大大降低了环境数据采集的难度,实现成本一般低于人工采集方法。本文构建了一种基于5G通信技术的智能采集车系统,并将其应用于污染场地的数据分析。同时,构建了基于硬件结构的数据分析与管理系统。实验结果表明,该方法可以有效地分析污染场地数据,具有较强的实用性。智能数据采集工具更具操作性和实用性,大大降低了环境数据采集的难度,实现成本一般低于人工采集方法。本文构建了一种基于5G通信技术的智能采集车系统,并将其应用于污染场地的数据分析。同时,构建了基于硬件结构的数据分析与管理系统。实验结果表明,该方法可以有效地分析污染场地数据,具有较强的实用性。构建了基于5G通信技术的智能采集车系统,并将其应用于污染场地的数据分析。同时,构建了基于硬件结构的数据分析与管理系统。实验结果表明,该方法可以有效地分析污染场地数据,具有较强的实用性。构建了基于5G通信技术的智能采集车系统,并将其应用于污染场地的数据分析。同时,构建了基于硬件结构的数据分析与管理系统。实验结果表明,该方法可以有效地分析污染场地数据,具有较强的实用性。
更新日期:2020-07-19
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