| Large generating units are the core equipment of power stations,and their safe and reliable operation is a prerequisite for the stability of the power network.Temperature is an important parameter that reflects the health of large generators.Defects can be found in time by analyzing the temperature of generators,which can improve the stability and utilization of the equipment and prolong the service life of the unit.The large generator is a multi-characteristic coupling system,and the temperature analysis model is complicated.MATLAB has abundant resources of library functions,excellent performance and a good development environment,which can greatly simplify the development of temperature data analysis and provide a powerful tool for exploring the relationship between temperature and state parameters.MATLAB’s graphical user interface(GUI)can be used to develop an interactive analysis platform for experts.The paper starts from the three parts of online data extraction,exploration of temperature analysis method and establishment of human-computer interaction platform of data analysis.Firstly,the paper summarizes the temperature characteristics of the monitoring objects and the multi-source layered synchronous storage method,proposes a data extraction mode based on MATLAB’s C/S architecture,remotely connects to the SQL Server database to achieve online temperature data by ODBC.The paper uses the method of working condition synchronization to read the temperature and state parameters in an associative way,and uses the method of intelligent sparse screening to reduce the pressure of data communication.In order to improve the reliability of the data,the validity of the temperature data is examined.Secondly,under the support of MATLAB’s powerful numerical calculation and graphics processing functions,the paper uses methods of temperature change rate and vibration amplitude analysis to divide the generators’ temperature state processes into a transition process and a steady state process.Aiming at the transition process,a threshold analysis method of simulating the temperature rise process and a trend analysis method of fitting the temperature change rate by MATLAB are used.Aiming at the steady-state process,the historical data of the normal operation of the generator is fully mined and similar working conditions are identified.A method of three-dimensional temperature fitting with temperature-related state parameters by MATLAB is used to evaluate the health of the temperature state and a method of statistical analysis of temperature normal distribution diagram under similar working conditions is used to determine whether the temperature exceeds the limit.Finally,according to the requirements analysis of the field specialists,the paper uses MATLAB GUI to design and develop an auxiliary expert analysis platform for generator temperature conditions.The system has centrally developed functional modules such as data display,process judgment,process analysis,correlation analysis,automatic reporting,and active early warning.It provides human-computer interaction pages to assist field specialists in analyzing and making decisions.In the end,the historical data of the hydro-generators of a power station is used to test the functional modules,and the satisfactory analysis results are obtained. |