The invention provides a self-adaptive operation and maintenance
quality monitoring and management method, which comprises the following steps that: monitoring indexes are dynamically adjusted according to real-
time data and
business requirements so as to ensure the flexibility and adaptability of monitoring, and the monitoring indexes comprise monitoring frequency; the method comprises the following steps: acquiring a
quality data set on line through data, wherein the
quality data set comprises
quality information data of a dimension service object,
system service environment data, fault abnormal data and key element index data; analyzing the
quality data set, detecting abnormity by adopting a high-dimensional
algorithm, and triggering early warning if a detected abnormal value exceeds an abnormal threshold value; performing nonlinear mapping on the current actual operation data and the
performance index reference value, and triggering a dynamic adjustment mechanism service to deal with abnormity; and the
system calculates a quality problem
score according to the operation and maintenance performance, and gives a qualified result according to the quality problem
score. According to the invention, by optimizing resource configuration, the operation and maintenance quality is ensured to be matched with service requirements, and finally higher-level
service quality and management effect are realized.