Steam turbine vibration monitoring system and method

Abstract

The invention relates to the technical field of power plant equipment operation and maintenance, provides a steam turbine vibration monitoring system and method, and aims to solve the problem of incompatibility caused by sensor parameter change in steam turbine vibration monitoring. The system comprises a data acquisition unit, a monitoring equipment determination unit, a monitoring equipment operation state detection unit, a steam turbine vibration monitoring result detection unit and a data acquisition equipment configuration parameter optimization unit. By simulating a vibration monitoring process, the system dynamically adapts to different monitoring tasks and environments, monitors the state of data acquisition equipment in real time, and optimizes configuration parameters by using a genetic algorithm when necessary. The adaptability and the accuracy of the monitoring system are improved, intelligent and automatic optimization is realized, the reliability and the stability of the system are enhanced, the maintenance cost is reduced, and the safety and the efficiency of power plant operation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant equipment operation and maintenance, and in particular to a steam turbine vibration monitoring system and method. Background Art

[0002] Abnormal vibration of steam turbines during startup and operation is a common and serious problem. Excessive vibration can cause damage to the unit and even lead to serious accidents. Therefore, in order to ensure the safe operation of steam turbines during startup and operation, it is necessary to monitor and diagnose the vibration of steam turbines in real time.

[0003] The steam turbine vibration monitoring system is mainly composed of the following parts: Sensors, which are used to collect vibration data of steam turbines and are usually installed in key locations such as bearings and gearboxes. Common sensors include eddy current displacement sensors, acceleration sensors, etc. Data acquisition system, which is used to collect vibration data measured by sensors in real time, and realize data acquisition and conversion through components such as preamplifiers, analog-to-digital converters and microprocessor chips. Signal processing system, which performs preprocessing such as filtering and amplification on the collected vibration signals to improve the accuracy of subsequent vibration analysis. Vibration monitoring system, through signal processing and advanced algorithms, analyzes and extracts fault information from vibration data, and diagnoses the state of bearings and noise sources. The steam turbine vibration monitoring system can monitor the vibration status of power machinery in real time, help predict faults and improve equipment reliability and safety. Alarm system, when the vibration signal exceeds a certain threshold, the system will send out sound and light signals to prompt the monitoring personnel to make adjustments and troubleshoot.

[0004] In the actual use of the steam turbine vibration monitoring system, the working environment of the steam turbine is complex, with factors such as high temperature, high pressure, and high speed, which affect the performance and stability of the sensor, resulting in inaccurate monitoring data or sensor damage. Although the use of high-temperature resistant and anti-interference sensors, combined with isolation technology and signal processing algorithms, can improve the anti-interference ability and stability of the system. However, in the actual use of the steam turbine vibration monitoring system, when the sensor is damaged, although a new sensor is used, due to the change in the sensor parameters, the original model in the steam turbine vibration monitoring system is incompatible with the new sensor. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a steam turbine vibration monitoring system and method to solve the problem of incompatibility between the model in the original steam turbine vibration monitoring system and the new sensor due to the change in the parameters of the sensor.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In a first aspect, the present invention provides a steam turbine vibration monitoring system, comprising: A data acquisition unit is used to obtain steam turbine vibration data and steam turbine vibration monitoring tasks. The steam turbine vibration data includes vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data, operating parameter data, transient data and steady-state data. The steam turbine vibration monitoring tasks include vibration amplitude monitoring tasks, vibration frequency monitoring tasks, vibration phase monitoring tasks, waveform spectrum analysis tasks, operating parameter monitoring tasks, transient monitoring tasks, steady-state monitoring tasks, and alarm fault warning thresholds. The monitoring device determination unit substitutes the steam turbine vibration data and the steam turbine vibration monitoring task into a preset steam turbine vibration monitoring simulation model to obtain a steam turbine vibration monitoring simulation result. According to the steam turbine vibration monitoring simulation result, the steam turbine vibration monitoring simulation result includes data acquisition device information of steam turbine vibration monitoring and configuration parameters of the data acquisition device; A monitoring device operation status detection unit detects the operation status of the data acquisition device and obtains real-time operation status information of the data acquisition device. The real-time operation status information of the data acquisition device includes normal operation of the data acquisition device, abnormal operation of the data acquisition device, and abnormal operation of the data acquisition device; The steam turbine vibration monitoring result detection unit receives the real-time steam turbine vibration monitoring data collected by the data acquisition device, substitutes the real-time steam turbine vibration monitoring data and the steam turbine vibration monitoring task into the steam turbine vibration monitoring analysis model to obtain the real-time steam turbine vibration monitoring analysis result, and compares the real-time steam turbine vibration monitoring analysis result with the steam turbine vibration monitoring simulation result. If the comparison between the real-time steam turbine vibration monitoring analysis result and the steam turbine vibration monitoring simulation result is greater than the error range value, the configuration parameters of the data acquisition device are optimized; The data acquisition device configuration parameter optimization unit optimizes the data acquisition device configuration parameters using a genetic algorithm to obtain optimized data acquisition device configuration parameters, and loads the optimized data acquisition device configuration parameters into the data acquisition device.

[0007] Furthermore, in the steam turbine vibration monitoring system provided by the present invention, the monitoring device determination unit is further used for: Data matching is performed in the preset database according to the turbine vibration data to obtain the turbine vibration characteristics and historical data; A steam turbine vibration monitoring simulation model is constructed based on the vibration characteristics and historical data of the steam turbine, the steam turbine vibration data and the vibration monitoring task are substituted into the steam turbine vibration monitoring simulation model, the steam turbine vibration monitoring simulation model is started, the steam turbine vibration monitoring simulation model performs calculations according to the input steam turbine vibration data and the steam turbine monitoring task, and the steam turbine vibration monitoring simulation model simulates the vibration monitoring process according to the steam turbine structure, the steam turbine speed and the steam turbine load; After the steam turbine vibration monitoring simulation model runs, the steam turbine vibration monitoring simulation results are output. The steam turbine vibration monitoring simulation results include the data acquisition device information of the current monitoring task and the configuration parameters of the data acquisition device.

[0008] Furthermore, in the steam turbine vibration monitoring system provided by the present invention, the monitoring device determination unit is further used for: Match the received real-time vibration monitoring data with the turbine vibration monitoring task, substitute the matched real-time vibration monitoring data and monitoring task into the turbine vibration monitoring analysis model, and generate the real-time turbine vibration monitoring analysis result. The real-time turbine vibration monitoring analysis result includes various vibration indicators, fault warning information, and fault causes; Compare the real-time turbine vibration monitoring and analysis results with the turbine vibration monitoring simulation results to determine whether the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value; The data acquisition equipment configuration parameters are optimized according to the results of the error judgment. If the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value, the subsequent data acquisition equipment configuration parameter optimization process is triggered.

[0009] Furthermore, in the steam turbine vibration monitoring system provided by the present invention, the monitoring device determination unit is further used for: Adopting genetic algorithm to optimize the configuration parameters of data acquisition equipment, receiving and setting the parameters set by genetic algorithm, the parameters set by genetic algorithm include population size, genetic generation, mutation rate and crossover rate; Determine the optimization goal and construct the fitness function. Randomly generate a set of initial configuration parameters as the first generation of individuals in the population. Execute the genetic algorithm on the initialized population. In each generation of individuals, select excellent individuals for reproduction according to the fitness function. Generate new individuals through crossover and mutation operations, and update the population until the preset genetic generation number is reached or other stopping conditions are met. Output the optimized data acquisition device configuration parameters, and load the optimized data acquisition device configuration parameters into the data acquisition device.

[0010] In a second aspect, the present invention provides a method for monitoring vibration of a steam turbine, comprising: Step S101, obtaining steam turbine vibration data and steam turbine vibration monitoring tasks, the steam turbine vibration data including vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data, operating parameter data, transient data and steady-state data, the steam turbine vibration monitoring tasks including vibration amplitude monitoring tasks, vibration frequency monitoring tasks, vibration phase monitoring tasks, waveform spectrum analysis tasks, operating parameter monitoring tasks, transient monitoring tasks, steady-state monitoring tasks, alarm fault warning thresholds; Step S102, substituting the steam turbine vibration data and the steam turbine vibration monitoring task into a preset steam turbine vibration monitoring simulation model to obtain a steam turbine vibration monitoring simulation result. According to the steam turbine vibration monitoring simulation result, the steam turbine vibration monitoring simulation result includes data acquisition equipment information of steam turbine vibration monitoring and data acquisition equipment configuration parameters; Step S103, detecting the operating status of the data acquisition device to obtain real-time operating status information of the data acquisition device, the real-time operating status information of the data acquisition device including the data acquisition device operating normally, the data acquisition device operating abnormally, and the data acquisition device operating abnormally; Step S104, receiving the real-time steam turbine vibration monitoring data collected by the data acquisition device, substituting the real-time steam turbine vibration monitoring data and the steam turbine vibration monitoring task into the steam turbine vibration monitoring analysis model to obtain the real-time steam turbine vibration monitoring analysis result, and comparing the real-time steam turbine vibration monitoring analysis result with the steam turbine vibration monitoring simulation result. If the comparison between the real-time steam turbine vibration monitoring analysis result and the steam turbine vibration monitoring simulation result is greater than the error range value, the configuration parameters of the data acquisition device are optimized; Step S105, optimizing the data acquisition device configuration parameters using a genetic algorithm to obtain optimized data acquisition device configuration parameters, and loading the optimized data acquisition device configuration parameters into the data acquisition device.

[0011] Furthermore, in the steam turbine vibration monitoring method provided by the present invention, step S102 comprises: Data matching is performed in the preset database according to the turbine vibration data to obtain the turbine vibration characteristics and historical data; A steam turbine vibration monitoring simulation model is constructed based on the vibration characteristics and historical data of the steam turbine, the steam turbine vibration data and the vibration monitoring task are substituted into the steam turbine vibration monitoring simulation model, the steam turbine vibration monitoring simulation model is started, the steam turbine vibration monitoring simulation model performs calculations according to the input steam turbine vibration data and the steam turbine monitoring task, and the steam turbine vibration monitoring simulation model simulates the vibration monitoring process according to the steam turbine structure, the steam turbine speed and the steam turbine load; After the steam turbine vibration monitoring simulation model runs, the steam turbine vibration monitoring simulation results are output. The steam turbine vibration monitoring simulation results include the data acquisition device information of the current monitoring task and the configuration parameters of the data acquisition device.

[0012] Furthermore, in the steam turbine vibration monitoring method provided by the present invention, step S104 comprises: Match the received real-time vibration monitoring data with the turbine vibration monitoring task, substitute the matched real-time vibration monitoring data and monitoring task into the turbine vibration monitoring analysis model, and generate the real-time turbine vibration monitoring analysis result. The real-time turbine vibration monitoring analysis result includes various vibration indicators, fault warning information, and fault causes; Compare the real-time turbine vibration monitoring and analysis results with the turbine vibration monitoring simulation results to determine whether the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value; The data acquisition equipment configuration parameters are optimized according to the results of the error judgment. If the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value, the subsequent data acquisition equipment configuration parameter optimization process is triggered.

[0013] Furthermore, in the steam turbine vibration monitoring method provided by the present invention, step S105 comprises: Adopting genetic algorithm to optimize the configuration parameters of data acquisition equipment, receiving and setting the parameters set by genetic algorithm, the parameters set by genetic algorithm include population size, genetic generation, mutation rate and crossover rate; Determine the optimization goal and construct the fitness function. Randomly generate a set of initial configuration parameters as the first generation of individuals in the population. Execute the genetic algorithm on the initialized population. In each generation of individuals, select excellent individuals for reproduction according to the fitness function. Generate new individuals through crossover and mutation operations, and update the population until the preset genetic generation number is reached or other stopping conditions are met. Output the optimized data acquisition device configuration parameters, and load the optimized data acquisition device configuration parameters into the data acquisition device.

[0014] The beneficial effects of the present invention are mainly reflected in the following aspects: By substituting the turbine vibration data and monitoring tasks into the preset vibration monitoring simulation model, the system can dynamically adapt to different monitoring requirements and environmental changes, and improve the accuracy of the monitoring results. The operating status of the data acquisition equipment is monitored in real time, and the configuration parameters of the data acquisition equipment are optimized when necessary, further improving the accuracy and reliability of the monitoring system.

[0015] The genetic algorithm is used to optimize the configuration parameters of the data acquisition equipment, realizing an intelligent and automated parameter adjustment process and reducing the cost of manual intervention and trial and error. The system can automatically decide whether to trigger the optimization process based on the comparison between the real-time monitoring results and the simulation results, thereby improving work efficiency and response speed. By comprehensively acquiring the turbine vibration data and monitoring tasks, as well as real-time monitoring of the operating status of the data acquisition equipment, the system can promptly discover and handle potential problems and avoid data acquisition interruptions or errors caused by equipment failures. The optimized data acquisition equipment configuration parameters can better adapt to the current monitoring tasks and environment, and improve the stability and reliability of the system. By real-time monitoring and optimizing the configuration parameters of the data acquisition equipment, the system can reduce the risk of equipment damage caused by equipment overload or improper configuration, thereby extending the service life of the equipment. The intelligent optimization process reduces the need for manual maintenance and reduces maintenance costs and time.

[0016] Accurate vibration monitoring results help to timely detect potential faults and abnormalities of steam turbines, provide scientific decision-making support for power plant operation and maintenance personnel, and thus avoid major accidents. By optimizing the performance and accuracy of the monitoring system, the operating efficiency of the power plant is improved, and the downtime and economic losses caused by equipment failure are reduced.

[0017] In summary, the present invention effectively improves the adaptability and accuracy of the turbine vibration monitoring system through real-time monitoring, dynamic simulation, parameter optimization and adaptive adjustment, enhances the intelligence and automation level of the system, improves the reliability and stability of the system, extends the service life of the equipment and reduces maintenance costs, and ultimately improves the safety and efficiency of power plant operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A schematic diagram of a steam turbine vibration monitoring and control method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0021] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0022] In a first aspect, the present invention provides a steam turbine vibration monitoring system, comprising: A data acquisition unit is used to obtain steam turbine vibration data and steam turbine vibration monitoring tasks. The steam turbine vibration data includes vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data, operating parameter data, transient data and steady-state data. The steam turbine vibration monitoring tasks include vibration amplitude monitoring tasks, vibration frequency monitoring tasks, vibration phase monitoring tasks, waveform spectrum analysis tasks, operating parameter monitoring tasks, transient monitoring tasks, steady-state monitoring tasks, and alarm fault warning thresholds. In the technical solution of the present invention, the data acquisition unit is responsible for acquiring the steam turbine vibration data and the steam turbine vibration monitoring task; The data acquisition unit is responsible for collecting vibration data from various parts of the turbine and combining this data with the vibration monitoring task to provide comprehensive input for subsequent processing and analysis.

[0023] The acquired turbine vibration data; Vibration amplitude: indicates the size or intensity of turbine vibration.

[0024] Vibration frequency: indicates the speed or periodicity of turbine vibration.

[0025] Vibration Phase: describes the relative position of a point in the vibration waveform, which helps analyze the synchronization or correlation of vibrations.

[0026] Waveform data: directly reflects the shape of vibration changes over time.

[0027] Spectrum analysis data: By performing spectrum analysis on the vibration signal, the frequency components of the vibration and their distribution are obtained, which helps to identify specific types of vibration faults.

[0028] Working parameter data: including turbine speed, load, temperature, pressure and other working state parameters, which have an important influence on the vibration characteristics.

[0029] Transient data: reflects the vibration characteristics of the turbine during transient processes such as startup, shutdown or load mutation.

[0030] Steady-state data: reflects the vibration characteristics of the turbine under stable operating conditions.

[0031] The steam turbine vibration monitoring task obtained; Vibration amplitude monitoring task: Set the monitoring range and threshold of the vibration amplitude to detect amplitude anomalies.

[0032] Vibration frequency monitoring task: Set the monitoring range and threshold of vibration frequency to detect frequency anomalies.

[0033] Vibration phase monitoring task: Analyze changes in vibration phase to detect phase anomalies or synchronization problems.

[0034] Waveform spectrum analysis task: Perform spectrum analysis on the vibration waveform to identify the frequency components and their changes.

[0035] Working parameter monitoring tasks: Monitor the working parameters of the turbine and analyze their impact on the vibration characteristics.

[0036] Transient monitoring task: Monitor vibration characteristics during transient processes to detect potential transient faults.

[0037] Steady-state monitoring task: Monitor vibration characteristics during the steady-state process to improve the stable operation of the turbine.

[0038] Alarm and fault warning thresholds: Set the alarm thresholds for vibration and working parameters. When the monitoring data exceeds these thresholds, the system will issue an alarm or fault warning.

[0039] By comprehensively acquiring these vibration data and monitoring tasks, the data acquisition unit provides a solid foundation for subsequent monitoring analysis, simulation and optimization, and improves the accuracy and reliability of the turbine vibration monitoring system.

[0040] The monitoring device determination unit substitutes the steam turbine vibration data and the steam turbine vibration monitoring task into a preset steam turbine vibration monitoring simulation model to obtain a steam turbine vibration monitoring simulation result. According to the steam turbine vibration monitoring simulation result, the steam turbine vibration monitoring simulation result includes data acquisition device information of steam turbine vibration monitoring and configuration parameters of the data acquisition device; Monitoring equipment determines the unit's workflow; The monitoring equipment determination unit receives the turbine vibration data and vibration monitoring tasks from the data acquisition unit. These data include vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data, operating parameter data, transient data, and steady-state data, and the monitoring tasks cover vibration amplitude monitoring, vibration frequency monitoring, vibration phase monitoring, waveform spectrum analysis, operating parameter monitoring, transient monitoring, steady-state monitoring, and alarm fault warning thresholds.

[0041] The received turbine vibration data and monitoring tasks are substituted into the preset turbine vibration monitoring simulation model. This simulation model is built based on turbine vibration characteristics and historical data, and can simulate the vibration monitoring process of the turbine under different working conditions.

[0042] In the simulation model, complex calculations are performed based on the input vibration data and monitoring tasks. These calculations take into account the turbine structure, speed, load and various characteristics of the vibration data to simulate the actual vibration monitoring situation.

[0043] Result output: After the simulation operation is completed, the monitoring device determination unit outputs the turbine vibration monitoring simulation results. These results include the data acquisition equipment information required for the current monitoring task, as well as the configuration parameters of these devices. This information is crucial for subsequent data collection and monitoring analysis.

[0044] Monitoring equipment determines the functional characteristics of the unit; By simulating the vibration monitoring process under different operating conditions, the monitoring equipment determination unit can dynamically adapt to the various operating conditions and monitoring requirements of the steam turbine. This enables the system to maintain accuracy and reliability under different operating conditions.

[0045] Through simulation calculation and result output, the monitoring equipment determination unit can improve the information and configuration parameters of the data acquisition equipment to match the current monitoring task and environment. This helps to improve the accuracy of vibration monitoring and reduce the possibility of false alarms and missed alarms.

[0046] The monitoring equipment determination unit can also be combined with the subsequent data acquisition equipment configuration parameter optimization unit to achieve intelligent optimization of the data acquisition equipment. When there is a difference between the real-time monitoring results and the simulation results, the system can automatically adjust the configuration parameters of the data acquisition equipment to improve the accuracy and reliability of monitoring.

[0047] In summary, the monitoring equipment determination unit provides a strong guarantee for the accuracy and adaptability of the turbine vibration monitoring system by substituting vibration data and monitoring tasks into the simulation model for calculation and outputting simulation results.

[0048] A monitoring device operation status detection unit detects the operation status of the data acquisition device and obtains real-time operation status information of the data acquisition device. The real-time operation status information of the data acquisition device includes normal operation of the data acquisition device, abnormal operation of the data acquisition device, and abnormal operation of the data acquisition device; The function of the monitoring device operation status detection unit is to detect the operation status of the data acquisition device in real time, including whether the device is working normally, whether it is not operating normally, and whether there are any abnormalities in operation. This real-time monitoring can detect potential problems in time and prevent data acquisition interruptions or errors caused by equipment failures.

[0049] The detection unit outputs the real-time operating status information of the detected data acquisition equipment to other parts of the system. This information includes three states: normal operation, abnormal operation and abnormal operation of the equipment, which helps the system to make corresponding treatment measures according to the equipment status.

[0050] When the detection unit finds that the data acquisition equipment is not operating normally or abnormally, it can send a fault warning signal to the system in time. In this way, the system can take timely countermeasures, such as switching to backup equipment, adjusting monitoring parameters or performing equipment maintenance, to improve the continuity and accuracy of vibration monitoring.

[0051] The role of the detection unit for monitoring the operating status of the equipment; By monitoring the operating status of data acquisition equipment in real time, the system can promptly detect and handle equipment failures, avoid monitoring data interruptions or errors caused by equipment failures, and thus improve the reliability of the entire vibration monitoring system.

[0052] Based on the real-time operating status information of the data acquisition equipment, the system can optimize resource allocation, such as reasonably allocating monitoring tasks, adjusting equipment workload, etc., to improve resource utilization efficiency and reduce operating costs.

[0053] In the case of a complex and changeable working environment of the steam turbine, the monitoring equipment operation status detection unit can monitor the equipment status in real time and adjust the monitoring strategy to enhance the system's adaptability to different working conditions and environments.

[0054] In summary, the monitoring equipment operation status detection unit plays a vital role in the turbine vibration monitoring system. It improves the continuity and accuracy of vibration monitoring and improves the reliability and adaptability of the system by monitoring the operation status of the data acquisition equipment in real time.

[0055] The steam turbine vibration monitoring result detection unit receives the real-time steam turbine vibration monitoring data collected by the data acquisition device, substitutes the real-time steam turbine vibration monitoring data and the steam turbine vibration monitoring task into the steam turbine vibration monitoring analysis model to obtain the real-time steam turbine vibration monitoring analysis result, and compares the real-time steam turbine vibration monitoring analysis result with the steam turbine vibration monitoring simulation result. If the comparison between the real-time steam turbine vibration monitoring analysis result and the steam turbine vibration monitoring simulation result is greater than the error range value, the configuration parameters of the data acquisition device are optimized; Workflow of the steam turbine vibration monitoring result detection unit; First, receive the real-time turbine vibration monitoring data collected by the data acquisition equipment. These data include vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data and other information, which are important basis for evaluating the operation status of the turbine.

[0056] The received real-time vibration monitoring data and the pre-set turbine vibration monitoring tasks are substituted into the turbine vibration monitoring analysis model. Based on advanced algorithms and technologies, the analysis model can conduct in-depth analysis of vibration data and extract key information related to the turbine operating status.

[0057] Through the operation of the vibration monitoring and analysis model, real-time turbine vibration monitoring and analysis results are generated. These results include various vibration indicators, fault warning information, and possible fault causes, etc., providing an important basis for subsequent decision-making and optimization.

[0058] The real-time vibration monitoring analysis results are compared with the turbine vibration monitoring simulation results previously obtained through the monitoring equipment determination unit. Through the comparison, the accuracy and efficiency of the current monitoring system and the rationality of the data acquisition equipment configuration parameters can be evaluated.

[0059] If the difference between the real-time vibration monitoring analysis result and the simulation result exceeds the preset error range, it means that there may be problems with the current data acquisition equipment configuration parameters and they need to be optimized. At this time, the monitoring result detection unit will trigger the subsequent data acquisition equipment configuration parameter optimization process.

[0060] The functional characteristics of the turbine vibration monitoring result detection unit: It can monitor the vibration status of the turbine in real time, and process and analyze the data through advanced analysis models to improve the accuracy and timeliness of the monitoring results. By comparing the real-time monitoring results with the simulation results, it can timely discover the problems in the monitoring system and trigger the optimization process to adjust the configuration parameters of the data acquisition equipment, thereby improving the accuracy and efficiency of the monitoring system. It not only provides real-time monitoring and analysis functions, but also can make intelligent decision support based on the comparison results, and provide scientific and reasonable optimization suggestions for operation and maintenance personnel.

[0061] In summary, the turbine vibration monitoring result detection unit provides a strong guarantee for the accuracy and efficiency of the turbine vibration monitoring system by real-time monitoring and analysis of vibration data and comparing and verifying with simulation results. At the same time, the unit can also trigger the optimization process based on the comparison results to further improve the performance of the monitoring system.

[0062] The data acquisition device configuration parameter optimization unit optimizes the data acquisition device configuration parameters using a genetic algorithm to obtain optimized data acquisition device configuration parameters, and loads the optimized data acquisition device configuration parameters into the data acquisition device.

[0063] Workflow of the data acquisition equipment configuration parameter optimization unit; When the turbine vibration monitoring result detection unit finds that the difference between the real-time vibration monitoring analysis result and the simulation result exceeds the preset error range value, the data acquisition equipment configuration parameter optimization process will be triggered.

[0064] The optimization unit first sets the relevant parameters of the genetic algorithm, including population size, genetic generation, mutation rate, crossover rate, etc. These parameters will directly affect the optimization effect and efficiency of the genetic algorithm.

[0065] According to the existing problems and actual needs of the current monitoring system, the optimization goal is determined. For example, it may be aimed at improving the accuracy of monitoring data, reducing the energy consumption of data acquisition equipment, or extending the service life of equipment.

[0066] The fitness function is used to evaluate the quality of each individual (i.e., a set of configuration parameters). The optimization unit will construct a corresponding fitness function based on the optimization goal in order to select excellent individuals during the iterative process of the genetic algorithm.

[0067] A set of initial configuration parameters is randomly generated as the first generation of individuals in the population. Then, a genetic algorithm is performed on the initialized population, including operations such as selection, crossover, and mutation, to generate new individuals and update the population. This process will be iterated until the preset number of genetic generations is reached or other stopping conditions are met.

[0068] When the genetic algorithm iteration is completed, the optimized data acquisition equipment configuration parameters are output. These parameters are the best solution or approximate best solution obtained after multiple iterations and optimization, which is expected to improve the performance of the vibration monitoring system.

[0069] The optimized data acquisition device configuration parameters are loaded into the data acquisition device. In this way, the data acquisition device will work according to the new configuration parameters to improve the accuracy of the monitoring data and the overall performance of the system.

[0070] Functional features of the data acquisition equipment configuration parameter optimization unit; Using the advanced optimization algorithm of genetic algorithm, it can automatically search and find the optimal or approximately optimal data acquisition equipment configuration parameters without manual intervention or trial and error. The genetic algorithm has the ability of parallel processing and global search, and can find a better solution in a shorter time. Therefore, the optimization unit can improve work efficiency while ensuring the optimization effect. The fitness function and optimization objectives can be customized and adjusted according to actual needs. This means that the optimization unit can be applied to different vibration monitoring scenarios and needs, and has strong flexibility and versatility. By continuously optimizing the configuration parameters of the data acquisition equipment, the unit can continuously improve the performance and accuracy of the vibration monitoring system. This is of great significance to improving the safe operation of the steam turbine and extending the service life of the equipment.

[0071] In summary, the data acquisition equipment configuration parameter optimization unit uses genetic algorithms to intelligently optimize the configuration parameters of the data acquisition equipment, providing an effective means to improve the overall performance and accuracy of the vibration monitoring system.

[0072] Specifically, in the steam turbine vibration monitoring system provided by the present invention, the monitoring device determination unit is further used for: Data matching is performed in the preset database according to the turbine vibration data to obtain the turbine vibration characteristics and historical data; A steam turbine vibration monitoring simulation model is constructed based on the vibration characteristics and historical data of the steam turbine, the steam turbine vibration data and the vibration monitoring task are substituted into the steam turbine vibration monitoring simulation model, the steam turbine vibration monitoring simulation model is started, the steam turbine vibration monitoring simulation model performs calculations according to the input steam turbine vibration data and the steam turbine monitoring task, and the steam turbine vibration monitoring simulation model simulates the vibration monitoring process according to the steam turbine structure, the steam turbine speed and the steam turbine load; After the steam turbine vibration monitoring simulation model runs, the steam turbine vibration monitoring simulation results are output. The steam turbine vibration monitoring simulation results include the data acquisition device information of the current monitoring task and the configuration parameters of the data acquisition device.

[0073] Specifically, in the steam turbine vibration monitoring system provided by the present invention, the monitoring device determination unit is further used for: Match the received real-time vibration monitoring data with the turbine vibration monitoring task, substitute the matched real-time vibration monitoring data and monitoring task into the turbine vibration monitoring analysis model, and generate the real-time turbine vibration monitoring analysis result. The real-time turbine vibration monitoring analysis result includes various vibration indicators, fault warning information, and fault causes; Compare the real-time turbine vibration monitoring and analysis results with the turbine vibration monitoring simulation results to determine whether the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value; The data acquisition equipment configuration parameters are optimized according to the results of the error judgment. If the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value, the subsequent data acquisition equipment configuration parameter optimization process is triggered.

[0074] Specifically, in the steam turbine vibration monitoring system provided by the present invention, the monitoring device determination unit is further used for: Adopting genetic algorithm to optimize the configuration parameters of data acquisition equipment, receiving and setting the parameters set by genetic algorithm, the parameters set by genetic algorithm include population size, genetic generation, mutation rate and crossover rate; Determine the optimization goal and construct the fitness function. Randomly generate a set of initial configuration parameters as the first generation of individuals in the population. Execute the genetic algorithm on the initialized population. In each generation of individuals, select excellent individuals for reproduction according to the fitness function. Generate new individuals through crossover and mutation operations, and update the population until the preset genetic generation number is reached or other stopping conditions are met. Output the optimized data acquisition device configuration parameters, and load the optimized data acquisition device configuration parameters into the data acquisition device.

[0075] In a second aspect, the present invention provides a method for monitoring vibration of a steam turbine, comprising: Step S101, obtaining steam turbine vibration data and steam turbine vibration monitoring tasks, the steam turbine vibration data including vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data, operating parameter data, transient data and steady-state data, the steam turbine vibration monitoring tasks including vibration amplitude monitoring tasks, vibration frequency monitoring tasks, vibration phase monitoring tasks, waveform spectrum analysis tasks, operating parameter monitoring tasks, transient monitoring tasks, steady-state monitoring tasks, alarm fault warning thresholds; Step S102, substituting the steam turbine vibration data and the steam turbine vibration monitoring task into a preset steam turbine vibration monitoring simulation model to obtain a steam turbine vibration monitoring simulation result. According to the steam turbine vibration monitoring simulation result, the steam turbine vibration monitoring simulation result includes data acquisition equipment information of steam turbine vibration monitoring and data acquisition equipment configuration parameters; Step S103, detecting the operating status of the data acquisition device to obtain real-time operating status information of the data acquisition device, the real-time operating status information of the data acquisition device including the data acquisition device operating normally, the data acquisition device operating abnormally, and the data acquisition device operating abnormally; Step S104, receiving the real-time steam turbine vibration monitoring data collected by the data acquisition device, substituting the real-time steam turbine vibration monitoring data and the steam turbine vibration monitoring task into the steam turbine vibration monitoring analysis model to obtain the real-time steam turbine vibration monitoring analysis result, and comparing the real-time steam turbine vibration monitoring analysis result with the steam turbine vibration monitoring simulation result. If the comparison between the real-time steam turbine vibration monitoring analysis result and the steam turbine vibration monitoring simulation result is greater than the error range value, the configuration parameters of the data acquisition device are optimized; Step S105, optimizing the data acquisition device configuration parameters using a genetic algorithm to obtain optimized data acquisition device configuration parameters, and loading the optimized data acquisition device configuration parameters into the data acquisition device.

[0076] Specifically, the steam turbine vibration monitoring method provided by the present invention, step S102 includes: Data matching is performed in the preset database according to the turbine vibration data to obtain the turbine vibration characteristics and historical data; A steam turbine vibration monitoring simulation model is constructed based on the vibration characteristics and historical data of the steam turbine, the steam turbine vibration data and the vibration monitoring task are substituted into the steam turbine vibration monitoring simulation model, the steam turbine vibration monitoring simulation model is started, the steam turbine vibration monitoring simulation model performs calculations according to the input steam turbine vibration data and the steam turbine monitoring task, and the steam turbine vibration monitoring simulation model simulates the vibration monitoring process according to the steam turbine structure, the steam turbine speed and the steam turbine load; After the steam turbine vibration monitoring simulation model runs, the steam turbine vibration monitoring simulation results are output. The steam turbine vibration monitoring simulation results include the data acquisition device information of the current monitoring task and the configuration parameters of the data acquisition device.

[0077] Specifically, the steam turbine vibration monitoring method provided by the present invention, step S104 comprises: Match the received real-time vibration monitoring data with the turbine vibration monitoring task, substitute the matched real-time vibration monitoring data and monitoring task into the turbine vibration monitoring analysis model, and generate the real-time turbine vibration monitoring analysis result. The real-time turbine vibration monitoring analysis result includes various vibration indicators, fault warning information, and fault causes; Compare the real-time turbine vibration monitoring and analysis results with the turbine vibration monitoring simulation results to determine whether the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value; The data acquisition equipment configuration parameters are optimized according to the results of the error judgment. If the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value, the subsequent data acquisition equipment configuration parameter optimization process is triggered.

[0078] Specifically, the steam turbine vibration monitoring method provided by the present invention, step S105 comprises: Adopting genetic algorithm to optimize the configuration parameters of data acquisition equipment, receiving and setting the parameters set by genetic algorithm, the parameters set by genetic algorithm include population size, genetic generation, mutation rate and crossover rate; Determine the optimization goal and construct the fitness function. Randomly generate a set of initial configuration parameters as the first generation of individuals in the population. Execute the genetic algorithm on the initialized population. In each generation of individuals, select excellent individuals for reproduction according to the fitness function. Generate new individuals through crossover and mutation operations, and update the population until the preset genetic generation number is reached or other stopping conditions are met. Output the optimized data acquisition device configuration parameters, and load the optimized data acquisition device configuration parameters into the data acquisition device.

[0079] The technical solution provided by the present invention solves the problem of incompatibility between the model in the original steam turbine vibration monitoring system and the new sensor due to the change of sensor parameters in the following ways: The data acquisition unit not only obtains the vibration data of the steam turbine (including vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data, operating parameter data, transient data and steady-state data), but also obtains the vibration monitoring tasks of the steam turbine (such as vibration amplitude monitoring tasks, vibration frequency monitoring tasks, etc.). In this way, the system can fully understand the current monitoring needs.

[0080] The monitoring equipment determination unit uses the preset turbine vibration monitoring simulation model to substitute the acquired turbine vibration data and monitoring tasks into the model to simulate the vibration monitoring process. The model outputs the data acquisition equipment information and its configuration parameters suitable for the current monitoring task based on the characteristics of the turbine structure, speed and load. This step improves the system's ability to dynamically adapt to different monitoring needs and environmental changes.

[0081] The monitoring equipment operation status detection unit detects the operation status of the data acquisition equipment in real time to improve the normal operation of the equipment. This helps to find and solve equipment failures in a timely manner and avoid problems such as inaccurate monitoring data or equipment damage.

[0082] The turbine vibration monitoring result detection unit receives the real-time vibration monitoring data collected by the data acquisition device, and substitutes it and the monitoring task into the turbine vibration monitoring analysis model to obtain the real-time monitoring analysis result. Subsequently, this result is compared with the simulation result. If the difference exceeds the preset error range value, it means that the current data acquisition device configuration parameters may no longer meet the current monitoring needs or environment.

[0083] The data acquisition equipment configuration parameter optimization unit uses genetic algorithms to optimize the configuration parameters of the data acquisition equipment based on the differences between the real-time monitoring analysis results and the simulation results. Genetic algorithms simulate natural selection and genetic mechanisms to find the optimal or approximately optimal configuration parameter combination in a complex search space. The optimized parameters can better adapt to the current monitoring tasks and environment, thereby improving the accuracy and reliability of monitoring data.

[0084] The optimized data acquisition device configuration parameters are loaded into the data acquisition device so that it works according to the new parameters. In this way, even if the sensor parameters change, the system can dynamically optimize the configuration parameters and improve the monitoring model to maintain compatibility with the new sensor, thereby continuously providing accurate vibration monitoring services.

[0085] In summary, the present invention effectively solves the incompatibility problem of the turbine vibration monitoring system caused by changes in sensor parameters through real-time monitoring, dynamic simulation, parameter optimization and adaptive adjustment, and improves the adaptability and reliability of the system.

[0086] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A steam turbine vibration monitoring system, characterized in that: include: A data acquisition unit is used to obtain steam turbine vibration data and steam turbine vibration monitoring tasks. The steam turbine vibration data includes vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data, operating parameter data, transient data and steady-state data. The steam turbine vibration monitoring tasks include vibration amplitude monitoring tasks, vibration frequency monitoring tasks, vibration phase monitoring tasks, waveform spectrum analysis tasks, operating parameter monitoring tasks, transient monitoring tasks, steady-state monitoring tasks, and alarm fault warning thresholds. A monitoring device determination unit is used to substitute the steam turbine vibration data and the steam turbine vibration monitoring task into a preset steam turbine vibration monitoring simulation model to obtain a steam turbine vibration monitoring simulation result. According to the steam turbine vibration monitoring simulation result, the steam turbine vibration monitoring simulation result includes data acquisition device information of steam turbine vibration monitoring and data acquisition device configuration parameters; The monitoring device operation status detection unit is used to detect the operation status of the data acquisition device and obtain the real-time operation status information of the data acquisition device. The real-time operation status information of the data acquisition device includes the normal operation of the data acquisition device, the abnormal operation of the data acquisition device and the abnormal operation of the data acquisition device; The steam turbine vibration monitoring result detection unit is used to receive the real-time steam turbine vibration monitoring data collected by the data acquisition device, substitute the real-time steam turbine vibration monitoring data and the steam turbine vibration monitoring task into the steam turbine vibration monitoring analysis model to obtain the real-time steam turbine vibration monitoring analysis result, and compare the real-time steam turbine vibration monitoring analysis result with the steam turbine vibration monitoring simulation result. If the comparison between the real-time steam turbine vibration monitoring analysis result and the steam turbine vibration monitoring simulation result is greater than the error range value, the configuration parameters of the data acquisition device are optimized; The data acquisition device configuration parameter optimization unit is used to optimize the data acquisition device configuration parameters using a genetic algorithm to obtain the optimized data acquisition device configuration parameters, and load the optimized data acquisition device configuration parameters into the data acquisition device.

2. The steam turbine vibration monitoring system according to claim 1, characterized in that: The monitoring device determination unit is further used for: Data matching is performed in the preset database according to the turbine vibration data to obtain the turbine vibration characteristics and historical data; A steam turbine vibration monitoring simulation model is constructed based on the vibration characteristics and historical data of the steam turbine, the steam turbine vibration data and the vibration monitoring task are substituted into the steam turbine vibration monitoring simulation model, the steam turbine vibration monitoring simulation model is started, the steam turbine vibration monitoring simulation model performs calculations according to the input steam turbine vibration data and the steam turbine monitoring task, and the steam turbine vibration monitoring simulation model simulates the vibration monitoring process according to the steam turbine structure, the steam turbine speed and the steam turbine load; After the steam turbine vibration monitoring simulation model runs, the steam turbine vibration monitoring simulation results are output. The steam turbine vibration monitoring simulation results include the data acquisition device information of the current monitoring task and the configuration parameters of the data acquisition device.

3. The steam turbine vibration monitoring system according to claim 1, characterized in that: The monitoring device determination unit is further used for: Match the received real-time vibration monitoring data with the turbine vibration monitoring task, substitute the matched real-time vibration monitoring data and monitoring task into the turbine vibration monitoring analysis model, and generate the real-time turbine vibration monitoring analysis result. The real-time turbine vibration monitoring analysis result includes various vibration indicators, fault warning information, and fault causes; Compare the real-time steam turbine vibration monitoring analysis results with the steam turbine vibration monitoring simulation results to determine whether the difference between the real-time monitoring analysis results and the simulation results is greater than the set error range value; The data acquisition equipment configuration parameters are optimized according to the results of the error judgment. If the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value, the subsequent data acquisition equipment configuration parameter optimization process is triggered.

4. The steam turbine vibration monitoring system according to claim 1, characterized in that: The monitoring device determination unit is further used for: Adopting genetic algorithm to optimize the configuration parameters of data acquisition equipment, receiving and setting the parameters set by genetic algorithm, the parameters set by genetic algorithm include population size, genetic generation, mutation rate and crossover rate; Determine the optimization goal and construct the fitness function. Randomly generate a set of initial configuration parameters as the first generation of individuals in the population. Execute the genetic algorithm on the initialized population. In each generation of individuals, select excellent individuals for reproduction according to the fitness function. Generate new individuals through crossover and mutation operations, and update the population until the preset genetic generation number is reached or other stopping conditions are met. Output the optimized data acquisition device configuration parameters, and load the optimized data acquisition device configuration parameters into the data acquisition device.

5. A method for monitoring vibration of a steam turbine, characterized in that: The steam turbine vibration monitoring system according to any one of claims 1 to 4 comprises: Step S101, obtaining steam turbine vibration data and steam turbine vibration monitoring tasks, the steam turbine vibration data including vibration amplitude, vibration frequency, vibration phase, waveform data, spectrum analysis data, operating parameter data, transient data and steady-state data, the steam turbine vibration monitoring tasks including vibration amplitude monitoring tasks, vibration frequency monitoring tasks, vibration phase monitoring tasks, waveform spectrum analysis tasks, operating parameter monitoring tasks, transient monitoring tasks, steady-state monitoring tasks, alarm fault warning thresholds; Step S102, substituting the steam turbine vibration data and the steam turbine vibration monitoring task into a preset steam turbine vibration monitoring simulation model to obtain a steam turbine vibration monitoring simulation result. According to the steam turbine vibration monitoring simulation result, the steam turbine vibration monitoring simulation result includes data acquisition equipment information of steam turbine vibration monitoring and data acquisition equipment configuration parameters; Step S103, detecting the operating status of the data acquisition device to obtain real-time operating status information of the data acquisition device, the real-time operating status information of the data acquisition device including the data acquisition device operating normally, the data acquisition device operating abnormally, and the data acquisition device operating abnormally; Step S104, receiving the real-time steam turbine vibration monitoring data collected by the data acquisition device, substituting the real-time steam turbine vibration monitoring data and the steam turbine vibration monitoring task into the steam turbine vibration monitoring analysis model to obtain the real-time steam turbine vibration monitoring analysis result, and comparing the real-time steam turbine vibration monitoring analysis result with the steam turbine vibration monitoring simulation result. If the comparison between the real-time steam turbine vibration monitoring analysis result and the steam turbine vibration monitoring simulation result is greater than the error range value, the configuration parameters of the data acquisition device are optimized; Step S105, optimizing the data acquisition device configuration parameters using a genetic algorithm to obtain optimized data acquisition device configuration parameters, and loading the optimized data acquisition device configuration parameters into the data acquisition device.

6. The steam turbine vibration monitoring method according to claim 1, characterized in that: The step S102 includes: Data matching is performed in the preset database according to the turbine vibration data to obtain the turbine vibration characteristics and historical data; A steam turbine vibration monitoring simulation model is constructed based on the vibration characteristics and historical data of the steam turbine, the steam turbine vibration data and the vibration monitoring task are substituted into the steam turbine vibration monitoring simulation model, the steam turbine vibration monitoring simulation model is started, the steam turbine vibration monitoring simulation model performs calculations according to the input steam turbine vibration data and the steam turbine monitoring task, and the steam turbine vibration monitoring simulation model simulates the vibration monitoring process according to the steam turbine structure, the steam turbine speed and the steam turbine load; After the steam turbine vibration monitoring simulation model runs, the steam turbine vibration monitoring simulation results are output. The steam turbine vibration monitoring simulation results include the data acquisition device information of the current monitoring task and the configuration parameters of the data acquisition device.

7. The steam turbine vibration monitoring method according to claim 1, characterized in that: The step S104 includes: Match the received real-time vibration monitoring data with the turbine vibration monitoring task, substitute the matched real-time vibration monitoring data and monitoring task into the turbine vibration monitoring analysis model, and generate the real-time turbine vibration monitoring analysis result. The real-time turbine vibration monitoring analysis result includes various vibration indicators, fault warning information, and fault causes; Compare the real-time steam turbine vibration monitoring analysis results with the steam turbine vibration monitoring simulation results to determine whether the difference between the real-time monitoring analysis results and the simulation results is greater than the set error range value; The data acquisition equipment configuration parameters are optimized according to the results of the error judgment. If the difference between the real-time monitoring and analysis results and the simulation results is greater than the set error range value, the subsequent data acquisition equipment configuration parameter optimization process is triggered.

8. The steam turbine vibration monitoring method according to claim 1, characterized in that: The step S105 includes: Adopting genetic algorithm to optimize the configuration parameters of data acquisition equipment, receiving and setting the parameters set by genetic algorithm, the parameters set by genetic algorithm include population size, genetic generation, mutation rate and crossover rate; Determine the optimization goal and construct the fitness function. Randomly generate a set of initial configuration parameters as the first generation of individuals in the population. Execute the genetic algorithm on the initialized population. In each generation of individuals, select excellent individuals for reproduction according to the fitness function. Generate new individuals through crossover and mutation operations, and update the population until the preset genetic generation number is reached or other stopping conditions are met. Output the optimized data acquisition device configuration parameters, and load the optimized data acquisition device configuration parameters into the data acquisition device.

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