Analysis And Improvement Of Data Statistical Abnormality In Metrology Automation System

The measurement automation system is an application platform including data acquisition,business transformation analysis,resource sharing and other functions.Based on the measurement automation function specification,according to the actual work content,various functions and businesses are planned orderly,and a consistent functional architecture and complete business function model are established.It systematically shows the unified collection,centralized management and application of measurement data within the jurisdiction of the company,transforms the measurement management mode from "measurement device management" to "measurement data management",fundamentally improves the management level of measurement automation of the power grid company,and provides safety,complete,timely and accurate service for the safe operation,reliable power supply and high-quality service of the power grid.Data support.In this paper,the data abnormal analysis of the measurement automation system is deeply explored,and combined with practical work experience,some improvement measures are put forward.The first chapter,mainly through the research of the data on the measurement automation system,familiar with its relevant background and significance,and through the multi-dimensional comparison,preliminary understanding of the status quo and existing gap of the data statistical anomalies in the measurement automation system at home and abroad.Establish the research scope and content of this paper,and sort out the research content.In the second chapter,the general situation of the measurement automation system is introduced firstly,and then some functions are extracted from the main network and distribution network of the measurement automation system for detailed introduction,so that readers can understand its basic situation and lay the foundation for the subsequent anomaly analysis.In the third chapter,through the formulation of the analysis rules of the main distribution network of voltage data,the abnormal data analysis method in the current improvement is shown,and some improvement suggestions are put forward in view of some problems.The fourth chapter introduces the line loss analysis method of the current measurement automation system,mainly through two aspects of the model and formula of the team anomaly check classification method,and then discusses and studies the improvement direction of the line loss analysis in the future,and puts forward some ideas that can effectively improve the work efficiency.In this paper,through the research on the voltage data statistics,existing problems andline loss data statistics of the measurement automation system,we have formulated very detailed abnormal analysis and judgment rules,listed the corresponding classification methods,algorithm formulas,and established,according to the work experience accumulated in daily work,combined with the application of other relevant professional knowledge.Based on the abnormal analysis mode of voltage data and line loss data,some optimization suggestions are put forward.