一个分散的基于区块链的智能框架,用于在智能城市中持续监测车辆排放量
J Chandra Priya1,2, Dhinesh Balasubramanian3,4, R Nikil Sri Shen5
1Department of Computer Science and Engineering, AAA College of Engineering and Technology, Virudhunagar, Tamil Nadu, India.
Scientific reports
|November 10, 2025
概括
一个新的区块链框架使用物联网传感器和机器学习来改进车辆排放控制,克服目前系统的局限性,为更清洁的智能城市提供帮助.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
背景情况:
- 车辆造成的空气污染对环境退化和全球变暖做出了重大贡献.
- 现有的受污染控制证书 (PUCC) 系统表现出效率低下,例如监测不足和数据操纵风险.
- 智慧城市倡议需要先进的解决方案,以有效控制车辆排放.
研究的目的:
- 提出一个新的区块链支持的框架,用于加强车辆排放监测和控制.
- 整合物联网 (IoT) 传感器,机器学习 (ML) 和分散的数据验证,以实现可靠的排放管理.
- 解决传统PUCC系统的局限性,促进可持续的城市发展.
主要方法:
- 实施物联网传感器,用于实时监测车辆排放.
- 利用联盟区块链进行防改,透明和不变的数据存储和验证.
- 应用 eXtreme Gradient Boosting (XGBoost) 机器学习模型用于排放趋势预测和主动维护识别.
主要成果:
- 基于区块链的XGBoost模型实现了97.98%的预测准确度,超过了基于云的系统4.9%.
- 拟议的系统表现出高性能,吞吐量为679Mbps,响应时间为91.98毫秒,处理时间为225.88毫秒.
- 该框架有效地克服了PUCC系统的局限性,提供了可扩展和可靠的解决方案.
结论:
- 拟议的区块链框架为智能城市的车辆排放控制提供了重大进展.
- 物联网,区块链和机器学习的整合提供了安全,透明和高效的空气污染管理系统.
- 这种方法通过有效减少车辆污染来支持可持续的城市发展.
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