The invention discloses an intelligent Operation and Maintenance Analysis
System Based on Multi-source Heterogeneous Data Fusion,
Machine Learning and Customer Service RobotBased on multi-source heterogeneous data fusion, In the intelligent operation and maintenance analysis
system of
machine learning and customer
service robot, the analysis and
processing module uses the multi-source heterogeneous data fusion technology to preprocess and normalize the real-
time data. After the
correlation analysis, the
model matching is used to output the results, and the
root cause of the problem is determined by
root cause analysis. The
model management module is used for acquiring data for
machine learning and outputting various reasoning models to the analysis
processing module and the recommendationdecision module. The recommendation decision module recognizes the context and matches the corresponding subsequent
processing behavior according to the policy. The invention is based on the multi-source heterogeneous data fusion technology and the operation and
maintenance mode of
machine learning, which gives consideration to the compatibility problem of the
big data, improves the
automation degree of the operation and maintenance, guarantees the network safety and the
service quality, simultaneously has certain prediction ability, and reduces the related operation and maintenance cost. Theoutput mode of the customer
service robot further realizes the intelligence of operation and maintenance.