Integration And Application Of Real-time Condition Assessment System For Francis Turbine

Energy is the foundation of modern economic and social development.The National Energy Conference pointed out that efforts should be made to improve the level of energy supply and steadily promote hydropower construction.In recent years,hydropower construction is moving in the direction of "large installed capacity and high equipment complexity",and safety issues have become increasingly important.To ensure the safe and stable operation of hydropower equipment,realize real-time monitoring of equipment operating status,and improve the intelligent management of power station equipment,this article makes full use of the operation monitoring data of hydropower generators,combined with in-depth analysis of the basic structure and operating principles of Francis turbines.An evaluation system for the operation status of a Francis turbine is constructed,and an evaluation algorithm for the operation status is designed to realize the real-time status evaluation of the Francis turbine.The main content and research results of this article are as described below:(1)For the reliability and real-time performance of data,the real-time data push program and two-layer data storage architecture suitable for B/S software architecture are designed.Real-time data push uses Web Socket protocol to achieve efficient real-time transmission,while ordinary data flows through Traditional HTTP protocol transmission,two-layer data storage architecture refers to the combination of a high read and write rate in-memory database Redis and a traditional relational database My SQL,which not only meets the demand for high real-time data read and write rates,but also shares to a certain extent The memory demand pressure is reduced.(2)In-depth understanding and analysis of the basic structure and operating principles of Francis turbines,sorting out the turbine monitoring database to obtain key operating status monitoring indicators,referring to the precautions for the evaluation system construction,screening appropriate operating status indicators,and constructing a Francis turbine that can fully characterize the operating status of the unit Multi-index system for real-time status assessment.(3)The concept of degradation degree and membership degree based on fuzzy mathematics is further adopted to carry out degradation analysis and research on the current unit status.In order to solve the problem that the index weight in the evaluation model is relatively high,the entropy weight method of objective evaluation is introduced,based on the actual measurement of unit indicators.The data determines the weights of the bottom evaluation indicators,and the weights of the intermediate indicators are determined by the improved analytic hierarchy process,which reduces the complicated steps of modifying the judgment matrix after the traditional analytic hierarchy process fails the consistency test,without affecting the results of the algorithm.Based on the above,the membership model of the underlying index and the weighting algorithm model are combined with the fuzzy comprehensive evaluation method,and the real-time state evaluation algorithm model of the Francis turbine is established,The validity of the model is verified based on the measured data of the power station.(4)Based on the above main research content,combined with the current mainstream front-end and back-end separation development model,the front-end Vue-based and backend Django-based software systems have been designed and developed,including real-time monitoring,data query and status evaluation,which are improving the intelligence of power station equipment.The management level is of great practical significance.