Research on the improvement of rural power service quality based on big data analysis method

Abstract

Rural power service is an important support for realizing urban-rural integration, and it is of great significance to promote regional economic development and improve people's living standards. However, with the increasing maturity of Internet technology and information and communication means in the era of big data and the popularization of intelligent terminal equipment in rural areas, people's demand for services is increasing day by day, and the quality of customer service has become critical for power grid companies. Rural power service quality is an important part of power grid companies, and its development and progress play a pivotal role in China's national economy and social stability. The improvement of rural power service quality in the era of big data is a new problem in the current development process of power grid companies. It is necessary to combine modern information technology, artificial intelligence technology and information processing methods on the existing basis to effectively analyze and improve user needs and changes in customer experience, so as to provide more accurate and high-quality services for the majority of power supply enterprises. This paper first analyzes the establishment and empowerment of service quality evaluation indicators, and then analyzes the development status of rural power service quality, and puts forward specific plans to improve our country's rural power transmission capacity and promote the healthy and sustainable development of power grid enterprises in the era of big data. Secondly, based on the service work order, the work order classification is carried out, and the work order classification method and the rural power transmission service quality in the era of big data are analyzed. By analyzing the classification of work orders, we evaluate the service quality of rural power transmission in our country, and propose a service quality evaluation method, which can promote the healthy and sustainable development of China's power industry.