An intelligent electric meter fault analysis and prediction system based on a big data platform

• Main Authors: SHANG XIWEN, JI YING
• Format: Patent
• Language: Chinese; English
• Published: 01.03.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides an intelligent electric meter fault analysis and prediction system based on a big data platform. The system comprises a Bayesian network construction subsystem and an analysis and prediction subsystem. When the system runs, analysis and prediction operation is carried out according to the following steps; A1, the Bayesian network construction subsystem acquires a Bayesian network model required for training electric meter fault prediction through a big data platform and uploads the Bayesian network model to the analysis and prediction subsystem; A2, after the analysis and prediction subsystem obtains the Bayesian network model, the fault of the intelligent electric meter is analyzed and predicted by using data related to the model through the model; A3, displaying the Bayesian network model and a fault prediction result obtained according to the model; based on a big data platform, mass electric meter data of different provinces and different regions can be processed, and use and operat