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基于用电信息采集大数据的“挖矿”用户定位方法

Research on Locating Default Users of Virtual Currency Mining Based on Electricity Information Acquisition Big Data

  • 摘要: 农业电价作为支撑民生行业、影响农民收入的重要调节手段,即使在当前电力电价市场化的运作模式下,仍然通过交叉补贴、政府定价等方式维持较低价格,以保障农业生产生活用电。而低电价也成为部分用户套取利益的手段之一,采用“低价高用”的方式,将本应执行高电价负荷私自接入农业用电,从而获取额外利益。在虚拟货币挖矿已被我国列为整治类产业的背景下,将虚拟货币计算设备接入农业电价计量,严重损害了供电企业和国家利益,严重影响到公平公正的用电环境。本文基于用电功率数据对挖矿用户行为与真实农业用电分析,定位异常用户,从而实现违约用户的快速定位,维护良好的供用电环境。

     

    Abstract: Agricultural electricity prices, as an important regulatory tool to support livelihoods and influence farmers' income, remain artificially low through cross-subsidies and government pricing, even under the current market-oriented electricity pricing model, in order to ensure affordable electricity for agricultural production and rural life. However, these low tariffs have also been exploited by some users as a means of profiteering. By employing "low-price, high-consumption" tactics, they illegally connect high-tariff loads to agricultural power supply systems, thereby obtaining undue benefits. In the context of China’s official classification of virtual currency mining as a regulated industry, connecting mining equipment to agricultural electricity meters severely harms the interests of power supply enterprises and the state, while undermining fairness in electricity consumption. This study analyzes the behavioral patterns of mining users versus genuine agricultural electricity consumption based on power load data, enabling rapid identification of anomalous users and supporting the maintenance of a fair and compliant electricity consumption environment.

     

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