An Auxiliary Decision-Making System for Electric Power Intelligent Customer Service Based on Hadoop

Shisong Wu,Zhaojie Dong,Rahman Ali

doi:10.1155/2022/5165718

Shisong Wu, Zhaojie Dong + Show 1 more

Open Access

https://doi.org/10.1155/2022/5165718

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Journal: Scientific programming	Publication Date: Jan 19, 2022
Citations: 6	License type: CC BY 4.0

Affiliation: China Southern Power Grid (China)

Abstract

Aiming at the problems of low security, high occupancy rate, and long response time in the current power intelligent customer service assistant decision-making system, a power intelligent customer service assistant decision-making system based on the Hadoop big data framework is designed. By analyzing the Hadoop big data framework, according to the characteristics and core elements of the HDFS distributed file system, the MapReduce programming model, and the data mining algorithm, the basic process of power intelligent customer service assistance decision-making is established. We analyze the overall and functional requirements of the system, design the overall architecture and application architecture of the system, design the E-R diagram and table structure of the database according to the database design principle, and realize the design of power intelligent customer service auxiliary decision-making system based on Hadoop big data framework. The test results show that the proposed method has high system security and low system occupancy and can effectively shorten the system response time. The systems run more flawlessly as compared to the existing methods and give impressing results with lesser CPU utilization. The response time was recorded to be about 12.2 seconds for 1000 power intelligent customer servers, which is much lower than that of the competitors.

Highlights

With the continuous improvement of the national economy, the power industry has gradually become one of the important industries
Accelerating the improvement of power customer systems, changing the traditional customer service mode, and diversifying customer service channels to a certain extent are the necessity of the steady development of power enterprises
Aiming at the above problems, this study contributes the design of a power intelligent customer service assistant decision-making system based on the Hadoop big data framework

Summary

Introduction

With the continuous improvement of the national economy, the power industry has gradually become one of the important industries. Aiming at the above problems, this study contributes the design of a power intelligent customer service assistant decision-making system based on the Hadoop big data framework. By analyzing the Hadoop big data framework and combining data mining algorithms, the basic process of powerful intelligent customer service assistance decisionmaking is constructed. (4) High efficiency: the Hadoop big data framework can carry out real-time data interaction with HDFS distributed file storage system and can process data tasks in parallel with the help of map reduce distributed parallel operation. Is is conducive to the Map Reduce programming model and effective scheduling of tasks on nodes, which improves the network bandwidth utilization of the entire Hadoop big data framework.

Design of the Auxiliary Decision-Making System

System Function Design

Experimental Environment Setup