摘要
为优化电力用户用电信息采集效果,提高用电信息数据采集的匹配度与准确性,文中基于云计算提出了一种全新的电力用户用电信息智能采集方法。首先,建立用电信息网络结构模型,辨识与提取电力用户用电信息的各种动态特征;其次,设计智能采集流程,利用云计算实时采集电力用户的用电信息;在此基础上,对采集到的用电信息进行加密传输处理,确保电力用户用电数据的可靠性和持久性。实验结果表明,应用该智能采集方法后,3种不同类型的电力用户用电信息采集匹配度均高于98.57%,在采集准确性方面表现出较大的优势。
In order to optimize the collection effect of power user electricity information and improve the matching degree and accuracy of power consumption information data collection,a new intelligent collection method of power user electricity consumption information is proposed based on cloud computing.First,the electricity consumption information network structure model is established to identify and extract various dynamic features of power user electricity consumption information.Secondly,the intelligent collection process is designed to use cloud computing to collect power user electricity consumption information in real time.On this basis,the collected electricity consumption information is encrypted and transmitted to ensure the reliability and durability of power user electricity consumption data.The experimental results show that after applying the intelligent collection method,the matching degree of power consumption information collection of three different types of power users is higher than 98.57%,which shows a great advantage in collection accuracy.
作者
赵招弟
李雪毅
马保鹏
ZHAO Zhaodi;LI Xueyi;MA Baopeng(Guyuan Rural Power Service Co.,Ltd.,Guyuan,Ningxia 756300,China)
出处
《移动信息》
2024年第6期282-284,共3页
MOBILE INFORMATION
关键词
云计算
电力用户
用电
信息
智能
采集
Cloud computing
Electricity users
Electricity consumption
Information
Intelligence
Collection