中国电力 ›› 2024, Vol. 57 ›› Issue (7): 182-187.DOI: 10.11930/j.issn.1004-9649.202309045
王栋1(), 冯景丽1(
), 李达1(
), 牛静伟2, 李军2
收稿日期:
2023-09-12
出版日期:
2024-07-28
发布日期:
2024-07-23
作者简介:
王栋(1988—),男,硕士,高级工程师,从事能源区块链技术研究,E-mail:wangdong@sgdt.sgcc.com.cn基金资助:
Dong WANG1(), Jingli FENG1(
), Da LI1(
), Jingwei NIU2, Jun LI2
Received:
2023-09-12
Online:
2024-07-28
Published:
2024-07-23
Supported by:
摘要:
构建了基于能源电力区块链的园区碳排放可信监测数字模型。首先,利用区块链防篡改技术保障监测数据的可信存证要求,相关接入实体指标全部由联盟链进行身份认证和权限控制,避免了数据遗失以及主体以外其他人恶意篡改的风险;其次,在具体的监测指标融合过程中,结合层次分析法,构建碳排放评价指标融合策略,对能源电力相关指标数据结合相似性聚类算法进行多源在线融合;最后,基于局部异常因子算法(local outlier factor,LOF)实现指标数据长周期异常离群检测,一定程度上解决数据畸变和错报自筛难题。
王栋, 冯景丽, 李达, 牛静伟, 李军. 基于区块链的园区碳排放可信监测模型[J]. 中国电力, 2024, 57(7): 182-187.
Dong WANG, Jingli FENG, Da LI, Jingwei NIU, Jun LI. A Credible Monitoring Model for Carbon Emissions in Industrial Parks Based on Blockchain Technology[J]. Electric Power, 2024, 57(7): 182-187.
模型 | 数据共享功能 | |||||||
细粒度 | 数据机 密性 | 数据可 追溯性 | 数据摘 要检索 | |||||
基于云计算的监测系统 | × | × | √ | × | ||||
基于物联网的监控平台 | × | × | √ | √ | ||||
基于时空数据建模的 核算系统 | × | √ | × | × | ||||
基于大数据的监测平台 | × | × | × | √ | ||||
基于区块链的可信 监测模型 | √ | √ | √ | √ |
表 1 不同类型的碳排放模型对比
Table 1 Comparison of different types of carbon emission models
模型 | 数据共享功能 | |||||||
细粒度 | 数据机 密性 | 数据可 追溯性 | 数据摘 要检索 | |||||
基于云计算的监测系统 | × | × | √ | × | ||||
基于物联网的监控平台 | × | × | √ | √ | ||||
基于时空数据建模的 核算系统 | × | √ | × | × | ||||
基于大数据的监测平台 | × | × | × | √ | ||||
基于区块链的可信 监测模型 | √ | √ | √ | √ |
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