Research of real⁃time calculation system of electric charge based on edge computing technology

许杰雄; 余中杰; 孙亚慧; 陈佐; 吕淳; 余航

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Research of real⁃time calculation system of electric charge based on edge computing technology

更新时间：2026-03-05

- Research of real⁃time calculation system of electric charge based on edge computing technology
- Vol. 23, Issue 3, (2021)
- 作者机构：
  
  1. 江苏方天电力技术有限公司,南京,210096
  2. 北京中电普华信息技术有限公司,北京,110000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2021
- 稿件说明：
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许杰雄, 余中杰, 孙亚慧, et al. Research of real⁃time calculation system of electric charge based on edge computing technology[J]. 2021, 23(3).
DOI：

许杰雄, 余中杰, 孙亚慧, et al. Research of real⁃time calculation system of electric charge based on edge computing technology[J]. 2021, 23(3). DOI：

摘要

在电力营销业务中，电费是业务开展的核心，由于数据实时性要求不断提高，而电费计算业务的云端主站服务压力却因数据量增加而日益加重，系统提供电费数据的时效性普遍较低。为了解决这一问题，研究了基于边缘计算技术的电费实时计算体系。选用了技术更加成熟的 EdgeX Foundry 框架作为边缘计算网关；资源占用率低、使用轻便的MQTT 协议作为安全协同传输和控制协议；间接接入方法作为设备集成接入技术。根据边缘计算网关的数据采集能力、数据聚合计算能力、预警能力 3 个目标开发部署相应的实时计算服务，最后通过仿真实验结果分析验证了基于边缘计算技术的电费实时系统的先进性和有效性。

Abstract

In the electricity marketing business

electricity tariffs are the core of business development. As the real-time data requirements continue to increase

the pressure on cloud master stations for electricity tariff calculation services is increasing due to the increase in the amount of data. The timeliness of electricity tar-iff data provided by the system is generally low. In order to solve this problem

this paper proposes a research on the real-time calculation system of electricity charges based on edge computing technology. The more mature EdgeX Foundry framework was selected as the edge computing gateway. The low-occupancy and lightweight MQTT protocol was used as the secure cooperative transmission and control protocol. The indirect access method was selected as the device integrated access technology. Corresponding real -time computing services based on the three goals of the edge computing gateway’s data collection capabilities

data aggregation computing capabilities and early-warning capabilities were developed and deployed. Finally

the results of simulation experiments verify the advancement and effectiveness of the real-time electricity tariff system based on edge computing technology.

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