Transformer Intelligent Customer Service Auxiliary Decision-making System Based on Hadoop Big Data Framework
A design scheme for an electric power intelligent customer service auxiliary decision-making system based on the Hadoop big data framework is proposed to address the issues of low security,high occupancy rate,and long response time in the current electric power intelligent customer service auxiliary decision-making system.By using Hadoop technology,a higher level of data security is achieved to ensure that sensitive information of customers and enter-prises is fully protected.By adopting a distributed architecture,the system occupancy rate is effectively reduced,and its stability and scalability are improved.Transformer technology is introduced to further reduce CPU usage to improve system response time and enhance customer experience.The experimental results show that the system not only improves the quality of customer service,but also enhances the operational efficiency of power enterprises,laying a solid founda-tion for future development.
auxiliary decision-makingpower intelligent customer servicebig data framework
NETL
NSTL
万方数据
