首页|基于大数据分析的治超非现场执法自动化控制系统研究

基于大数据分析的治超非现场执法自动化控制系统研究

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在现代交通管理中,超载运输是普遍存在的问题,它不仅会对道路安全构成威胁,还会加速道路基础设施的磨损,导致维护成本增加.为解决该问题,利用大数据分析来实现治超非现场执法的自动化控制尤为重要.该方法不仅能提高执法效率,还能通过精确的数据分析预测和防范潜在的超载行为.通过深入分析超载运输的挑战,设计了一种基于大数据分析的治超非现场执法自动化控制系统,并展示了如何利用大数据和自动化技术来提高治超执法的效率和效果,为未来相关技术的发展提供了理论基础和实践指导.
Research on Automatic Control System for Off-Site Law Enforcement for Overloading Control Based on Big Data Analysis
In modern traffic management,overloading transportation is a common problem.It not only poses a threat to road safety,but also accelerates the wear and tear of road infrastructure,leading to an increase in maintenance costs.In order to effectively address this challenge,it is particularly important to use big data analysis to achieve automated control of off-site law enforcement for overloading control.This method not only improves law enforcement efficiency,but also predicts and prevents potential overloading behavior through precise data analysis.This paper provides an in-depth analysis of the challenges of overloading transportation and designs an automated control system for off-site law enforcement based on big data analysis.It also demonstrates how to use big data and automation technology to improve the efficiency and effectiveness of overloading law enforcement,providing a theoretical basis and practical guidance for the development of related technologies in the future.

big data analysisoff-site law enforcement for overloading controlautomatic control system

刘海涛

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广州聚杰智能称重实业公司有限公司,广东 广州 510897

大数据分析 治超非现场执法 自动化控制系统

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(15)