Flow characteristic monitoring method and system for steam turbine valve

Abstract

The invention discloses a flow characteristic monitoring method for a steam turbine valve. The flow characteristic monitoring method comprises the following steps of data acquisition, data preprocessing, flow characteristic analysis, real-time monitoring and alarming, optimization adjustment and data recording and reporting. A flow characteristic monitoring system for a steam turbine valve comprises a data acquisition module, a data processing module, a storage module, a control module, a data transmission module and a data display module. The invention belongs to the technical field of steam turbines, and particularly provides a method for comprehensively monitoring and accurately controlling the flow characteristics of a valve through the steps of real-time data acquisition, data processing and analysis, flow characteristic evaluation, optimization adjustment and the like, so that the operation efficiency and stability of the steam turbine can be improved; and the flow characteristic monitoring method and system for the steam turbine valve can also reduce the fault rate and the maintenance cost.

Description

Technical Field

[0001] The invention belongs to the technical field of steam turbines, and in particular refers to a flow characteristic monitoring method and system for steam turbine valves. Background Art

[0002] In the power generation industry, steam turbines are a common power generation equipment, and the normal operation of their valves is crucial to ensure the stable operation of the generator set. The opening and closing process of the valve will directly affect the flow state of the fluid inside the steam turbine, and then affect the output power and efficiency of the entire generator set. After the steam turbine valve has been overhauled or operated for a long time, the flow characteristics will change to varying degrees. The change in flow characteristics will affect the load regulation performance of the unit and cannot meet the technical requirements of the power grid. Therefore, it is very important to monitor and control the flow characteristics of the steam turbine valve. Summary of the invention

[0003] In order to solve the above-mentioned existing problems, the present invention provides a flow characteristic monitoring method and system for turbine valves, which can realize comprehensive monitoring and precise control of valve flow characteristics through real-time data collection, data processing and analysis, flow characteristic evaluation and optimization adjustment, etc. This can not only improve the operating efficiency and stability of the turbine, but also reduce the failure rate and maintenance cost.

[0004] The technical solution adopted by the present invention is as follows: The flow characteristic monitoring method for steam turbine valves of the present invention comprises the following steps: 1) Data acquisition: historical operation data of steam turbine valves are acquired in real time through a distributed control system (DCS) of a thermal power generator set or other data acquisition system, including key parameters such as steam temperature, steam pressure, and valve opening;

[0005] 2) Data preprocessing: Based on the collected data, a scatter plot between the comprehensive valve position command and the flow rate is generated and visualized. The scatter plot is analyzed using a preset algorithm (such as linear regression, polynomial fitting, etc.) to correct the corresponding broken line function between the comprehensive valve position command and the valve opening command, thereby obtaining a more accurate linear relationship diagram of the flow characteristic;

[0006] 3) Flow characteristics analysis: Based on the processed data, evaluate the linearity, stability and other key indicators of the valve flow characteristics, identify abnormal points or deviation trends in the flow characteristics, and provide a basis for subsequent optimization and adjustment;

[0007] 4) Real-time monitoring and alarm: The monitoring system tracks the changes in valve opening and steam flow in real time to ensure the stability and accuracy of flow characteristics. When abnormal flow characteristics are detected (such as deviation from the preset range, rapid changes, etc.), the system automatically triggers the alarm mechanism to remind operators or maintenance personnel to handle the problem;

[0008] 5) Optimization and adjustment: According to the evaluation results, make necessary optimization adjustments to the valve flow characteristics, including adjusting the valve overlap, modifying the flow characteristic correction curve, etc., and modify the valve flow characteristic parameters online and conduct actual operation verification to ensure that the optimization effect meets expectations;

[0009] 6) Data recording and reporting: All data generated during the monitoring process (including raw data, processed data, flow characteristic curves, evaluation results, etc.) shall be recorded and saved, and a detailed monitoring report shall be generated based on the monitoring results and analysis conclusions. The report shall include the monitoring purpose, monitoring methods, monitoring results, evaluation conclusions, optimization suggestions, etc. for reference and decision-making by relevant personnel.

[0010] Furthermore, the data collection includes sensor installation and real-time data collection. Sensor installation: installing sensors on turbine valves and related pipelines to monitor key parameters such as steam temperature, steam pressure, valve opening, etc. The sensors include temperature sensors, pressure sensors, position sensors, etc. Real-time data collection: acquiring data from these sensors in real time through the data acquisition system to ensure the accuracy and timeliness of the data.

[0011] Furthermore, the data preprocessing includes data cleaning and data conversion. Data cleaning: removing noise data such as outliers and duplicate values ​​to ensure the data quality of subsequent analysis. Data conversion: converting analog signals into digital signals and performing necessary unit conversion and standardization processing.

[0012] Furthermore, the flow characteristic analysis includes flow characteristic curve drawing, model fitting and characteristic evaluation. Flow characteristic curve drawing: drawing the flow characteristic curve according to the collected valve opening (or position) and the corresponding steam flow data. This is usually achieved through a scatter plot or a line graph, which shows the relationship between the valve opening and the steam flow. Fitting model: using mathematical methods (such as linear regression, polynomial fitting, nonlinear regression, etc.) to fit the flow characteristic curve, and obtain a mathematical model that describes the relationship between the valve opening and the steam flow. This model can be used to predict and calculate the steam flow under different valve openings. Characteristic evaluation: evaluating the linearity, sensitivity, stability and other key indicators of the flow characteristics. If the flow characteristics do not meet expectations or are abnormal, further diagnosis and optimization are required.

[0013] The flow characteristic monitoring system for steam turbine valves comprises a data acquisition module, a data processing module, a storage module, a control module, a data transmission module and a data display module.

[0014] Furthermore, the data acquisition module is responsible for real-time acquisition of data on the steam turbine valve and its related systems, such as steam temperature, steam pressure, valve opening (position), etc. These data are collected through sensors installed on the valve and pipeline.

[0015] The data processing module converts the collected analog data into digital data and performs necessary preprocessing, such as denoising, filtering, unit conversion, etc. The processed data is analyzed in depth, the flow characteristic value of the valve is calculated, and the calculated value is optimized according to the preset linear reference curve.

[0016] The storage module stores key information such as operation data, test data, flow characteristic calculation values ​​and measured data, supports long-term storage and backup of data, and ensures the integrity and security of data.

[0017] The control module tests and controls the valve to ensure that the valve is in the best working state, and outputs the measured data of the valve for comparison and analysis with the theoretical value or the preset value.

[0018] The data transmission module allows the user to import new data from an external device or system, or export data in the storage module to an external device or system, thereby improving the flexibility and scalability of the system.

[0019] The data display module provides an intuitive user interface to display real-time data, historical data, flow characteristic curves and other information, and supports multiple display methods such as charts and curves, so that users can quickly understand the real-time status and change trends of valve flow characteristics.

[0020] The beneficial effects achieved by the present invention using the above structure are as follows: the flow characteristic monitoring method of the turbine valve can realize comprehensive monitoring and precise control of the valve flow characteristics, providing strong guarantee for the safe, stable and efficient operation of the turbine. The flow characteristic monitoring system of the turbine valve is of great significance to improving the operating efficiency and stability of the turbine. By real-time monitoring and analysis of the flow characteristics of the valve, potential problems can be discovered and solved in time, reducing the failure rate and maintenance costs. At the same time, the system can also provide strong data support for the optimized operation of the turbine and improve the overall performance and economic benefits of the unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart of the flow characteristic monitoring method for steam turbine valves proposed in this scheme;

[0022] Figure 2 Schematic diagram of the structure of the flow characteristic monitoring system for turbine valves proposed in this scheme. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] like Figure 1 and Figure 2 As shown, the flow characteristic monitoring method for steam turbine valves proposed in this scheme includes the following steps: 1) Data acquisition: through the distributed control system (DCS) of the thermal power generator set or other data acquisition systems, the historical operation data of the steam turbine valves are obtained in real time, including key parameters such as steam temperature, steam pressure, and valve opening;

[0025] 2) Data preprocessing: Based on the collected data, a scatter plot between the comprehensive valve position command and the flow rate is generated and visualized. The scatter plot is analyzed using a preset algorithm (such as linear regression, polynomial fitting, etc.) to correct the corresponding broken line function between the comprehensive valve position command and the valve opening command, thereby obtaining a more accurate linear relationship diagram of the flow characteristic;

[0026] 3) Flow characteristics analysis: Based on the processed data, evaluate the linearity, stability and other key indicators of the valve flow characteristics, identify abnormal points or deviation trends in the flow characteristics, and provide a basis for subsequent optimization and adjustment;

[0027] 4) Real-time monitoring and alarm: The monitoring system tracks the changes in valve opening and steam flow in real time to ensure the stability and accuracy of flow characteristics. When abnormal flow characteristics are detected (such as deviation from the preset range, rapid changes, etc.), the system automatically triggers the alarm mechanism to remind operators or maintenance personnel to handle the problem;

[0028] 5) Optimization and adjustment: According to the evaluation results, make necessary optimization adjustments to the valve flow characteristics, including adjusting the valve overlap, modifying the flow characteristic correction curve, etc., and modify the valve flow characteristic parameters online and conduct actual operation verification to ensure that the optimization effect meets expectations;

[0029] 6) Data recording and reporting: All data generated during the monitoring process (including raw data, processed data, flow characteristic curves, evaluation results, etc.) shall be recorded and saved, and a detailed monitoring report shall be generated based on the monitoring results and analysis conclusions. The report shall include the monitoring purpose, monitoring methods, monitoring results, evaluation conclusions, optimization suggestions, etc. for reference and decision-making by relevant personnel.

[0030] The data collection includes sensor installation and real-time data collection. Sensor installation: installing sensors on turbine valves and related pipelines to monitor key parameters such as steam temperature, steam pressure, valve opening, etc. The sensors include temperature sensors, pressure sensors, position sensors, etc. Real-time data collection: acquiring data from these sensors in real time through the data acquisition system to ensure the accuracy and timeliness of the data.

[0031] The data preprocessing includes data cleaning and data conversion. Data cleaning: removing noise data such as outliers and duplicate values ​​to ensure the data quality of subsequent analysis. Data conversion: converting analog signals into digital signals and performing necessary unit conversion and standardization processing.

[0032] The flow characteristic analysis includes flow characteristic curve drawing, model fitting and characteristic evaluation. Flow characteristic curve drawing: drawing the flow characteristic curve according to the collected valve opening (or position) and the corresponding steam flow data. This is usually achieved through a scatter plot or a line graph, showing the relationship between the valve opening and the steam flow. Fitting model: using mathematical methods (such as linear regression, polynomial fitting, nonlinear regression, etc.) to fit the flow characteristic curve, and obtain a mathematical model that describes the relationship between the valve opening and the steam flow. This model can be used to predict and calculate the steam flow under different valve openings. Characteristic evaluation: evaluating the linearity, sensitivity, stability and other key indicators of the flow characteristics. If the flow characteristics do not meet expectations or are abnormal, further diagnosis and optimization are required.

[0033] The flow characteristic monitoring system for steam turbine valves comprises a data acquisition module, a data processing module, a storage module, a control module, a data transmission module and a data display module.

[0034] The data acquisition module is responsible for real-time acquisition of data on the steam turbine valve and its related systems, such as steam temperature, steam pressure, valve opening (position), etc. These data are collected through sensors installed on the valve and pipeline.

[0035] The data processing module converts the collected analog data into digital data and performs necessary preprocessing, such as denoising, filtering, unit conversion, etc. It conducts in-depth analysis on the processed data, calculates the flow characteristic value of the valve, and optimizes the calculated value according to the preset linear reference curve.

[0036] The storage module stores key information such as operation data, test data, flow characteristic calculation values ​​and measured data, supports long-term storage and backup of data, and ensures the integrity and security of data.

[0037] The control module tests and controls the valve to ensure that the valve is in the best working state, and outputs the measured data of the valve for comparison and analysis with the theoretical value or the preset value.

[0038] The data transmission module allows the user to import new data from an external device or system, or export data in the storage module to an external device or system, thereby improving the flexibility and scalability of the system.

[0039] The data display module provides an intuitive user interface to display real-time data, historical data, flow characteristic curves and other information, and supports multiple display methods such as charts and curves, so that users can quickly understand the real-time status and change trends of valve flow characteristics.

[0040] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0041] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring flow characteristics of a steam turbine valve, characterized in that: The following steps are involved: 1) Data acquisition: The historical operation data of the steam turbine valve is acquired in real time through the distributed control system of the thermal power generator set or other data acquisition system. The historical operation data includes key parameters such as steam temperature, steam pressure, valve opening, etc. 2) Data preprocessing: Based on the collected data, a scatter plot between the comprehensive valve position command and the flow rate is generated and visualized. The scatter plot is analyzed using a preset algorithm to correct the corresponding broken line function between the comprehensive valve position command and the valve opening command, thereby obtaining a more accurate linear relationship diagram of the flow characteristic; 3) Flow characteristics analysis: Based on the processed data, evaluate the linearity, stability and other key indicators of the valve flow characteristics, identify abnormal points or deviation trends in the flow characteristics, and provide a basis for subsequent optimization and adjustment; 4) Real-time monitoring and alarm: The monitoring system tracks the changes in valve opening and steam flow in real time to ensure the stability and accuracy of flow characteristics. When abnormal flow characteristics are detected, the system automatically triggers the alarm mechanism to remind operators or maintenance personnel to handle the problem; 5) Optimization and adjustment: According to the evaluation results, make necessary optimization adjustments to the valve flow characteristics, including adjusting the valve overlap, modifying the flow characteristic correction curve, etc., and modify the valve flow characteristic parameters online and conduct actual operation verification to ensure that the optimization effect meets expectations; 6) Data recording and reporting: All data generated during the monitoring process shall be recorded and saved, and a detailed monitoring report shall be generated based on the monitoring results and analysis conclusions. The report shall include the monitoring purpose, monitoring methods, monitoring results, evaluation conclusions, optimization suggestions, etc. for reference and decision-making by relevant personnel.

2. The flow characteristic monitoring method for a steam turbine valve according to claim 1, characterized in that: The data collection includes sensor installation and real-time data collection. Sensor installation: installing sensors on turbine valves and related pipelines to monitor key parameters such as steam temperature, steam pressure, valve opening, etc. Real-time data collection: acquiring data from these sensors in real time through the data collection system to ensure the accuracy and timeliness of the data.

3. The flow characteristic monitoring method for a steam turbine valve according to claim 1, characterized in that: The data preprocessing includes data cleaning and data conversion. Data cleaning: removing noise data such as outliers and duplicate values ​​to ensure the data quality of subsequent analysis. Data conversion: converting analog signals into digital signals and performing necessary unit conversion and standardization processing.

4. The flow characteristic monitoring method for a steam turbine valve according to claim 1, characterized in that: The flow characteristic analysis includes flow characteristic curve drawing, model fitting and characteristic evaluation. Flow characteristic curve drawing: drawing the flow characteristic curve according to the collected valve opening and the corresponding steam flow data. Model fitting: using mathematical methods to fit the flow characteristic curve to obtain a mathematical model that describes the relationship between the valve opening and the steam flow. Characteristic evaluation: evaluating the linearity, sensitivity, stability and other key indicators of the flow characteristic.

5. The flow characteristic monitoring system for steam turbine valves according to claim 1, characterized in that: It includes a data acquisition module, a data processing module, a storage module, a control module, a data transmission module and a data display module.

6. The flow characteristic monitoring system for a steam turbine valve according to claim 1, characterized in that: The data acquisition module is responsible for real-time acquisition of data on the steam turbine valve and its related systems. The data processing module converts the collected analog data into digital quantities, performs necessary preprocessing, conducts in-depth analysis on the processed data, calculates the flow characteristic value of the valve, and optimizes the calculated value according to a preset linear reference curve. The storage module stores key information such as operation data, test data, flow characteristic calculation values ​​and measured data, supports long-term storage and backup of data, and ensures the integrity and security of data. The control module tests and controls the valve to ensure that the valve is in the best working state, and outputs the measured data of the valve for comparison and analysis with the theoretical value or the preset value. The data transmission module allows a user to import new data from an external device or system, or export data in the storage module to an external device or system. The data display module provides an intuitive user interface to display real-time data, historical data, flow characteristic curves and other information.

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