The invention discloses a network
perception intelligent early warning and improvement method based on
big data, specifically: first, classify the
source data, and analyze the five aspects of network quality, business
perception, complaint
traceability, terminal
adaptation, and user behavior according to the degree of influence. The
user perception index sets the scoring ratio to obtain the online satisfaction
score, and then the user's online data goes through seven stages of attach, pdn, tau, dns analysis, tcp three-way
handshake link establishment, HTTP request / response, sp response / transmission, Find out the reasons that affect the low
score of online satisfaction, and judge that it belongs to the specific process in the seven-stage process; finally, through segmentation and demarcation, cluster the problems into the
wireless side,
core network side, terminal side, and content side, and target Issues are dealt with accordingly. This method has comprehensive
data analysis, can obtain the real
perception of the user, improves the correlation between the quality of the network indicators and the real perception of the user, and improves the customer satisfaction of 4G
Internet access.