An intelligent monitoring and early warning system for the state of a steam turbine unit

Abstract

The present invention relates to the field of mechanical engineering. Specifically, it relates to an intelligent monitoring and early warning system for the state of a steam turbine unit, which includes a mechanical state detection module, a mechanical state analysis module, a temperature detection and analysis module, a pressure detection and analysis module, an operating characteristic parameter acquisition module, an operating characteristic parameter analysis module, an oil evaluation module, and a management database. This system analyzes the mechanical state parameters of the steam turbine unit to obtain the mechanical state evaluation coefficient of the steam turbine unit, analyzes the temperature and pressure parameters of the steam turbine unit to obtain the temperature and pressure evaluation coefficients of the steam turbine unit, analyzes the operating characteristic parameters of the steam turbine unit to obtain the operating characteristic evaluation index of the steam turbine unit, analyzes the viscosity, cleanliness, and moisture content of the oil of the steam turbine unit to obtain the oil evaluation coefficient of the steam turbine unit, and feeds back to the system, enabling a comprehensive and detailed monitoring and analysis of the actual situation of the steam turbine unit from multiple aspects.

Description

Technical Field

[0001] The present invention relates to the field of mechanical engineering, and more specifically, to an intelligent monitoring and early warning system for the state of a steam turbine unit. Background Art

[0002] With the continuous development of industry, steam turbine units, as important power equipment, are widely used in many fields such as electric power, chemical industry, and metallurgy. The safe, stable, and efficient operation of steam turbine units is crucial for the production process. However, due to being in a complex operating environment for a long time, steam turbine units may face various faults and abnormal conditions. Traditional monitoring methods often have certain limitations and are difficult to comprehensively, timely, and accurately capture the state changes of the units. At the same time, with the continuous expansion of industrial production scale and the increasing improvement of technical requirements, higher requirements are also put forward for the performance and reliability of steam turbine units.

[0003] For example, the existing Chinese patent with the application number 202010610087.X discloses a method, device, and electronic equipment for monitoring the operating performance of a steam turbine. This solution monitors the operating performance of the steam turbine unit by calculating the real-time heat consumption rate and the average heat consumption rate of the steam turbine unit and determining the difference between the two, and can timely detect whether the operating performance of the steam turbine unit is abnormal. The accuracy is improved through a judgment method that exceeds a predetermined ratio for a continuous predetermined number of times. The real-time heat consumption rate can also be corrected using a backpressure correction curve to make the monitoring more accurate, and the support vector machine algorithm is used to perform time series prediction on the difference to further improve the ability to predict performance anomalies.

[0004] By steady-state screening to eliminate invalid data, the energy efficiency state index data of the stable operating conditions is obtained, the operating conditions are divided and clustered to find data of specific classes, a multivariate state evaluation model is trained using the sample set and the predicted value of the energy efficiency state index is obtained, and the weight value is determined by the corrected information entropy weight method to calculate the deviation degree between the predicted value and the true value of the energy efficiency state index, thereby constructing the energy efficiency state index of the steam turbine unit, which helps to more comprehensively and deeply understand the energy efficiency status of the steam turbine unit, provides important support for improving the operating efficiency of the unit, achieving energy conservation and efficiency increase, and ensuring the stable and reliable operation of the unit.

[0005] However, the following problems exist in the above patent: First, the adaptability of this solution to different operating conditions of the steam turbine unit is not perfect enough. Different operating conditions may have a greater impact on parameters such as the heat consumption rate. For example, differences in mechanical state parameters (vibration frequency, vibration displacement), rotational speed, and intake conditions (changes in intake temperature, humidity, etc.) may lead to a lack of effective response measures when facing sudden situations, thereby affecting the normal operation of the entire production.

[0006] Second, this solution does not consider the impact of the quality of the oil fluid on the operation of the steam turbine unit, including indicators such as the cleanliness and viscosity of the oil fluid, which may lead to a lack of coping strategies or accurate understanding when encountering some oil fluid-related problems in actual applications. Summary of the Invention

[0007] To overcome the shortcomings in the background technology, the embodiment of the present invention provides an intelligent monitoring and early warning system for the state of a steam turbine unit, which can effectively solve the problems involved in the above background technology.

[0008] The object of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent monitoring and early warning system for the state of a steam turbine unit, including: a mechanical state detection module for detecting the mechanical state parameters of the steam turbine unit, and the mechanical state parameters include the vibration frequency, vibration displacement of each device, and the gap size between the static and moving parts.

[0009] A mechanical state analysis module for analyzing the mechanical state evaluation coefficient of the steam turbine unit based on the mechanical state parameters of the steam turbine unit and giving feedback.

[0010] A temperature detection and analysis module for detecting the temperature parameters of the steam turbine unit, analyzing the temperature evaluation coefficient of the steam turbine unit, and giving feedback. The temperature parameters include the temperature fluctuation degrees of the bearing bush, cylinder, and steam pipeline.

[0011] A pressure detection and analysis module for detecting the pressure parameters of the steam turbine unit, analyzing the pressure evaluation coefficient of the steam turbine unit, and giving feedback. The pressure parameters include the steam pressure at each time point of the steam pipeline and the lubricating oil pressure at each time point of the lubricating oil pipeline.

[0012] An operating characteristic parameter acquisition module for acquiring the operating characteristic parameters of the steam turbine unit. The operating characteristic parameters include the rotational speed of the steam turbine runner, the cylinder expansion amount, and the abnormal sound coefficient.

[0013] An operating characteristic parameter analysis module for analyzing the operating characteristic evaluation index of the steam turbine unit based on the operating characteristic parameters of the steam turbine unit and giving feedback.

[0014] An oil fluid evaluation module for detecting the viscosity, cleanliness, and moisture content of the oil fluid of the steam turbine unit, analyzing the oil fluid evaluation coefficient of the steam turbine unit, and giving feedback.

[0015] A management database for storing the preset maximum decibel value.

[0016] Preferably, the specific analysis method of the mechanical state detection module is: In the first step, each device of the steam turbine unit is numbered, and the number is , positioning points are selected on each device of the steam turbine unit, and the three-dimensional coordinates of the positioning points of each device of the steam turbine unit are obtained and recorded as Meanwhile, divide the time period according to the set duration, and detect the vibration times of each device of the steam turbine unit in each time period through a vibration sensor, denoted as , indicating the number of the th time period, , denote the set duration as , and obtain the vibration frequency of each device of the steam turbine unit through the formula , indicating the number of devices of the steam turbine unit, and obtain the three-dimensional coordinates of the positioning points of each device of the steam turbine unit again after each device of the steam turbine unit stops working, denoted as , substitute it into the formula to obtain the vibration displacement of each device of the steam turbine unit .

[0017] Second step, select a number of measurement points on the moving and static parts of each device of the steam turbine unit, denoted as each measurement point of each device of the steam turbine unit. Meanwhile, select a fixed reference plane, and measure the distance from each measurement point of each device of the steam turbine unit to the reference plane through a laser ranging device, denoted as , indicating the number of the th measurement point, , select position points according to the set positions, denoted as each position point. When the moving and static parts move to each position point, measure the distance from each measurement point of each device of the steam turbine unit to the reference plane again, and denote the measured distance from each measurement point of each device of the steam turbine unit to the reference plane as , indicating the number of the th position point, , substitute it into the formula to obtain the clearance size between the moving and static parts of each device of the steam turbine unit , indicating the number of position points, indicating the number of measurement points.

[0018] Preferably, the specific analysis method of the mechanical state analysis module is: respectively read the vibration frequency , vibration displacement , clearance size between the moving and static parts of each device of the steam turbine unit, substitute them into the formula to obtain the mechanical state evaluation coefficient of the steam turbine unit, respectively represent the reference values of the preset vibration frequency, vibration displacement, and clearance size between the moving and static parts, respectively represent the weight factors of the set vibration frequency, vibration displacement, and clearance size between the moving and static parts, Denote the natural constant. Compare the mechanical state evaluation coefficient of the steam turbine unit with the preset mechanical state evaluation coefficient threshold. If the mechanical state evaluation coefficient of the steam turbine unit is greater than or equal to the preset mechanical state evaluation coefficient threshold, it indicates that the mechanical state evaluation coefficient of the steam turbine unit is qualified; otherwise, it indicates that the mechanical state evaluation coefficient of the steam turbine unit is unqualified, and feedback is given to the system.

[0019] Preferably, the specific analysis method of the temperature detection and analysis module is as follows: Take a number of detection points on the bearing bush, cylinder, and steam pipeline of the steam turbine unit equipment respectively, and take a number of time points at set time intervals, denoted as each time point of each detection point. Detect the temperature of each detection point of the bearing bush, cylinder, and steam pipeline at each time point through temperature sensors, denoted as , denote the number of the th detection point, , denote the number of the th time point, , and obtain the temperature of each detection point of the bearing bush by taking the average value of the temperature of each detection point of the bearing bush at each time point, denoted as . Substitute it into the formula to obtain the temperature fluctuation degree of the bearing bush. denote the number of time points, denote the number of detection points. Analyze the temperature of each detection point of the cylinder and steam pipeline at each time point according to the method of analyzing the temperature fluctuation degree of the bearing bush to obtain the temperature fluctuation degree of the cylinder and steam pipeline, denoted as . Through the formula , obtain the temperature evaluation coefficient of the steam turbine unit. Compare the temperature evaluation coefficient of the steam turbine unit with the preset temperature evaluation coefficient threshold. If the temperature evaluation coefficient of the steam turbine unit is greater than or equal to the preset temperature evaluation coefficient threshold, it indicates that the temperature evaluation coefficient of the steam turbine unit is qualified; otherwise, it indicates that the temperature evaluation coefficient of the steam turbine unit is unqualified, and feedback is given to it.

[0020] Preferably, the specific analysis method of the pressure detection and analysis module is as follows: Detect the air pressure of each detection point of the steam pipeline at each time point through a pressure sensor, denoted as . Through the formula , obtain the steam pressure of each time point of the steam pipeline. Denote the number of detection points. Meanwhile, select detection points at a set distance in the lubricating oil pipeline, denoted as the detection points of each lubricating oil pipeline. Detect the pressure at each time point of the detection points of each lubricating oil pipeline and analyze the lubricating oil pressure at each time point of the lubricating oil pipeline according to the method of analyzing the steam pressure at each time point of the steam pipeline, denoted as , and substitute it into the formula to obtain the pressure evaluation coefficient of the steam turbine unit , Denote the number of time points, Denote the set reference steam pressure, Denote the set reference lubricating oil pressure, Denote the weight factors of the set steam pressure and lubricating oil pressure respectively. Compare the pressure evaluation coefficient of the steam turbine unit with the preset pressure evaluation coefficient threshold. If the pressure evaluation coefficient of the steam turbine unit is greater than or equal to the preset pressure evaluation coefficient threshold, it indicates that the pressure evaluation coefficient of the steam turbine unit is qualified; otherwise, it indicates that the pressure evaluation coefficient of the steam turbine unit is unqualified and give feedback on it.

[0021] Preferably, the specific analysis method of the operation characteristic parameter acquisition module is as follows: First step, install a rotational speed sensor on the rotating shaft of the steam turbine to detect the rotational speed of the steam turbine runner in each time period, denoted as , and obtain the rotational speed of the steam turbine runner through the formula , Denote the number of time periods.

[0022] Second step, detect the axial displacement of the cylinder at each time point through a linear displacement sensor installed at the set measurement position of the cylinder, denoted as the axial displacement of the cylinder at each time point, and obtain the axial movement distance of the cylinder by accumulating it, denoted as , and analyze the radial movement distance of the cylinder according to the method of analyzing the axial movement distance of the cylinder at the same time, denoted as , and substitute it into the formula to obtain the cylinder expansion of the steam turbine unit , Denote the natural constant, Denote the set reference value of the movement distance.

[0023] Preferably, the specific analysis method of the abnormal sound coefficient of the steam turbine unit is as follows: First step, collect the noise value of the working environment of the steam turbine unit, denote it as the initial environmental noise value, and monitor the noise during the operation of the steam turbine unit, denoted as the operation noise of the steam turbine unit.

[0024] Second step, obtain the decibel values of the operating noise of the steam turbine unit at each frequency point. By subtracting the noise value of the working environment of the steam turbine unit from it, obtain the actual decibel values of the operating noise of the steam turbine unit at each frequency point. Compare these values with the preset maximum decibel value. If the actual decibel value at a certain frequency point is greater than the preset maximum decibel value, then mark this frequency point as an abnormal noise frequency point.

[0025] Third step, count the decibel values of the noise at each abnormal noise frequency point of the operating noise of the steam turbine unit, and analyze to obtain the abnormal noise coefficient of the steam turbine unit.

[0026] Preferably, the specific analysis method of the operating characteristic parameter analysis module is as follows: Read the rotational speed of the steam turbine runner , the cylinder expansion , and the abnormal noise coefficient. Denote the abnormal noise coefficient as and substitute it into the formula to obtain the operating characteristic evaluation index of the steam turbine unit, where respectively represent the weight factors of the set runner rotational speed, cylinder expansion, and abnormal noise coefficient, respectively represent the reference values of the preset runner rotational speed and cylinder expansion, represents the natural constant. Compare the operating characteristic evaluation index of the steam turbine unit with the preset operating characteristic evaluation index threshold. If the operating characteristic evaluation index of the steam turbine unit is greater than or equal to the preset operating characteristic evaluation index threshold, it means that the operating characteristic evaluation index of the steam turbine unit is qualified; otherwise, it means it is unqualified, and feedback it to the system. <s

[0027] Preferably, the specific analysis method of the oil fluid evaluation module is as follows: First step, extract a set amount from the oil fluid of the steam turbine unit as a sample, denoted as the oil fluid sampling sample. Inhale the oil fluid sampling sample into a viscometer, and let it flow through a capillary by gravity naturally. Record the time taken for the oil fluid to flow from the starting scale line to the ending scale line of the capillary, denoted as the oil fluid flow time of the steam turbine unit. Obtain the viscosity of the oil fluid of the steam turbine unit through the viscosity calculation formula, denoted as .

[0028] Second step, inject the oil fluid sampling sample into a particle counter, and divide the particle size range according to the setting, denoted as each particle size range. Count the number of particles in each particle size range. At the same time, divide each particle size range into a smaller particle size interval and a larger particle size interval according to the set particle size threshold. Select the number of particles corresponding to the smaller particle size interval and the larger particle size interval from the number of particles in each particle size range, and denote them as respectively. Obtain the cleanliness of the oil fluid of the steam turbine unit through the formula , respectively represent the reference particle numbers of the preset smaller particle size interval and larger particle size interval, The weighting factors representing the number of particles corresponding to the set smaller particle size range and larger particle size range.

[0029] In the third step, the randomly selected oil sample is also added to the titration cell. The titration device is started to inject the Karl Fischer reagent into the titration cell. At the same time, the potentiometer is used to monitor the potential in real time. When the potential reaches the set value, the titration is stopped, and the amount of Karl Fischer reagent consumed in the titration is recorded. The water content of the oil in the steam turbine unit is obtained by calculation, and the water content rate of the oil in the steam turbine unit is obtained by dividing it by the total amount of the randomly selected oil sample, denoted as .

[0030] Preferably, the specific analysis method of the oil evaluation coefficient of the steam turbine unit is as follows: Read the viscosity , cleanliness , water content rate of the oil in the steam turbine unit, substitute them into the formula to obtain the oil evaluation coefficient of the steam turbine unit. represents the set viscosity reference value, respectively represent the weighting factors of the set viscosity, cleanliness, and water content rate of the oil. Compare the oil evaluation coefficient of the steam turbine unit with the preset oil evaluation coefficient threshold. If the oil evaluation coefficient of the steam turbine unit is greater than or equal to the preset oil evaluation coefficient threshold, it indicates that the oil evaluation coefficient of the steam turbine unit is qualified; otherwise, it indicates unqualified, and the result is fed back to the system.

[0031] Compared with the prior art, the present invention has the following beneficial effects: First, the present invention analyzes the mechanical state parameters of the steam turbine unit to obtain the mechanical state evaluation coefficient of the steam turbine unit, which can accurately understand the health status of the mechanical structure of the unit, timely discover potential problems, and ensure the stable mechanical performance.

[0032] Second, the present invention analyzes the operating characteristic parameters of the steam turbine unit to obtain the operating characteristic evaluation index of the steam turbine unit, which can more comprehensively and accurately reflect the actual operating conditions of the steam turbine unit, timely discover potential problems and give feedback.

[0033] Third, the present invention analyzes the temperature and pressure parameters of the steam turbine unit to obtain the temperature and pressure evaluation coefficients of the steam turbine unit, which can monitor the thermal engineering state, ensure that the unit operates in a suitable temperature and pressure environment, and prevent heat-related failures.

[0034] Fourth, the present invention detects the viscosity, cleanliness, and water content rate of the oil in the steam turbine unit, analyzes to obtain the oil evaluation coefficient of the steam turbine unit, and gives feedback to the system, which can ensure good oil quality, play roles such as lubrication and cooling, and extend the service life of the unit components. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0036] Figure 1 It is the system module connection diagram of the present invention.

[0037] Figure 2 For Figure 1 It is the schematic flow chart of the abnormal sound coefficient of the steam turbine unit in the operating characteristic parameter acquisition module.

[0038] Figure 3 For Figure 1 It is the flow judgment block diagram of the oil evaluation module. Specific embodiments

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a 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 those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0040] Please refer to Figure 1 As shown, an intelligent monitoring and early warning system for the state of a steam turbine unit includes a mechanical state detection module, a mechanical state analysis module, a temperature detection and analysis module, a pressure detection and analysis module, an operating characteristic parameter acquisition module, an operating characteristic parameter analysis module, an oil evaluation module, and a management database.

[0041] The mechanical state detection module is connected to the mechanical state analysis module, the operating characteristic parameter acquisition module is connected to the operating characteristic parameter analysis module, and the management database is connected to the mechanical state analysis module, the temperature detection and analysis module, the pressure detection and analysis module, the operating characteristic parameter analysis module, and the oil evaluation module.

[0042] The mechanical state detection module is used to detect the mechanical state parameters of the steam turbine unit. The mechanical state parameters include the vibration frequency, vibration displacement of each device, and the clearance size between the moving and static parts.

[0043] The specific analysis method of the mechanical state detection module is as follows: First step, number each device of the steam turbine unit, and the number is , select positioning points on each device of the steam turbine unit, and obtain the three-dimensional coordinates of the positioning points of each device of the steam turbine unit, denoted as , while dividing the time period according to the set duration, detecting the number of vibrations of each device of the steam turbine unit in each time period through a vibration sensor, denoted as , represents the number of the th time period, , denoting the set duration as , and obtaining the vibration frequency of each device of the steam turbine unit through the formula , , represents the number of devices of the steam turbine unit, and after each device of the steam turbine unit stops working, obtaining the three-dimensional coordinates of the positioning points of each device of the steam turbine unit again, denoted as , substituting it into the formula to obtain the vibration displacement of each device of the steam turbine unit ; It can timely detect abnormal vibration conditions during equipment operation, effectively monitor the health status of the equipment, and help evaluate the stability and potential risks of the equipment.

[0044] In the second step, select several measurement points on the moving and static parts of each device of the steam turbine unit, denoted as each measurement point of each device of the steam turbine unit. At the same time, select a fixed reference plane, and measure the distance from each measurement point of each device of the steam turbine unit to the reference plane through a laser ranging device, denoted as , represents the number of the th measurement point, , select position points according to the set positions, denoted as each position point. When the moving and static parts move to each position point, measure the distance from each measurement point of each device of the steam turbine unit to the reference plane again, and denote the measured distance from each measurement point of each device of the steam turbine unit to the reference plane as , represents the number of the th position point, , substituting it into the formula to obtain the clearance size between the moving and static parts of each device of the steam turbine unit , represents the number of position points, represents the number of measurement points; It can accurately measure the clearance size between the moving and static parts of the steam turbine unit, timely detect abnormal changes in the clearance, and provide guarantee for the safe operation of the equipment.

[0045] The mechanical state analysis module is used to analyze and obtain the mechanical state evaluation coefficient of the steam turbine unit according to the mechanical state parameters of the steam turbine unit and give feedback.

[0046] The specific analysis method of the mechanical state analysis module is as follows: respectively read the vibration frequency , vibration displacement , and the clearance size between the moving and static parts of each device of the steam turbine unit , substitute it into the formula to obtain the mechanical state evaluation coefficient of the steam turbine unit , respectively represent the reference values of the preset vibration frequency, vibration displacement, and the clearance size between the stationary and moving parts, respectively represent the weight factors of the set vibration frequency, vibration displacement, and the clearance size between the stationary and moving parts, represents the natural constant. Compare the mechanical state evaluation coefficient of the steam turbine unit with the preset mechanical state evaluation coefficient threshold. If the mechanical state evaluation coefficient of the steam turbine unit is greater than or equal to the preset mechanical state evaluation coefficient threshold, it indicates that the mechanical state evaluation coefficient of the steam turbine unit is qualified; otherwise, it indicates that the mechanical state evaluation coefficient of the steam turbine unit is unqualified, and feedback is given to the system; it can timely detect the situation of unqualified mechanical state, so as to quickly take targeted measures for adjustment, repair or maintenance to ensure the safe and stable operation of the equipment.

[0047] It should be noted that in a specific embodiment, can be set to 0.4, can be set to 0.4, can be set to 0.2. The vibration frequency and vibration displacement may be relatively more important because they can directly reflect the smoothness and vibration condition of the unit operation, and have important indicative significance for the fatigue, wear, etc. of mechanical components. The clearance size between the stationary and moving parts is also important, but the weight may be relatively slightly lower. An inappropriate clearance may affect the unit efficiency and performance, but it is usually not as direct and critical as the vibration-related parameters. Therefore, the weights corresponding to the vibration frequency and vibration displacement are higher.

[0048] The temperature detection and analysis module is used to detect the temperature parameters of the steam turbine unit, analyze to obtain the temperature evaluation coefficient of the steam turbine unit, and give feedback. The temperature parameters include the temperature fluctuation degrees of the bearing bush, cylinder, and steam pipeline.

[0049] The specific analysis method of the temperature detection and analysis module is as follows: Take several detection points on the bearing bush, cylinder, and steam pipeline of the steam turbine unit equipment respectively, and take several time points at the set time, denoted as each time point of each detection point. Detect the temperatures of each detection point of the bearing bush, cylinder, and steam pipeline at each time point through temperature sensors, denoted as , represents the number of the detection point, , represents the number of the time point, , obtain the temperature of each detection point of the bearing bush by taking the average value of the temperatures of each detection point of the bearing bush at each time point, denoted as , substitute it into the formula Obtain the degree of fluctuation of the bearing bush temperature , represents the number of time points, represents the number of detection points. Analyze the temperatures of each detection point at each time point of the cylinder and steam pipeline according to the method of analyzing the degree of bearing bush temperature fluctuation, and obtain the degree of temperature fluctuation of the cylinder and steam pipeline, denoted as . Through the formula Obtain the temperature evaluation coefficient of the steam turbine unit . Compare the temperature evaluation coefficient of the steam turbine unit with the preset temperature evaluation coefficient threshold. If the temperature evaluation coefficient of the steam turbine unit is greater than or equal to the preset temperature evaluation coefficient threshold, it means that the temperature evaluation coefficient of the steam turbine unit is qualified; otherwise, it means that the temperature evaluation coefficient of the steam turbine unit is unqualified, and give feedback on it. It can timely detect abnormal temperature changes, more carefully evaluate the stability and regularity of temperature changes, facilitate relevant personnel to take corresponding measures in time, ensure the safe and stable operation of the equipment, and avoid failures or damages caused by abnormal temperatures.

[0050] A pressure detection and analysis module is used to detect the pressure parameters of the steam turbine unit, analyze and obtain the pressure evaluation coefficient of the steam turbine unit, and give feedback. The pressure parameters include the steam pressure at each time point of the steam pipeline and the lubricating oil pressure at each time point of the lubricating oil pipeline.

[0051] The specific analysis method of the pressure detection and analysis module is as follows: Detect the air pressure at each detection point at each time point of the steam pipeline through a pressure sensor, denoted as . Through the formula Obtain the steam pressure at each time point of the steam pipeline , represents the number of detection points. At the same time, select detection points in the lubricating oil pipeline at a set distance, denoted as each detection point of the lubricating oil pipeline. Detect the pressure at each time point of each detection point of the lubricating oil pipeline and analyze it according to the method of analyzing the steam pressure at each time point of the steam pipeline to obtain the lubricating oil pressure at each time point of the lubricating oil pipeline, denoted as . Substitute it into the formula Obtain the pressure evaluation coefficient of the steam turbine unit , represents the number of time points, represents the set reference steam pressure, represents the set reference lubricating oil pressure, They respectively represent the weighting factors of the set steam pressure and lubricating oil pressure. The pressure evaluation coefficient of the steam turbine unit is compared with the preset pressure evaluation coefficient threshold. If the pressure evaluation coefficient of the steam turbine unit is greater than or equal to the preset pressure evaluation coefficient threshold, it indicates that the pressure evaluation coefficient of the steam turbine unit is qualified; otherwise, it indicates that the pressure evaluation coefficient of the steam turbine unit is unqualified, and feedback is given to it. It can accurately grasp the pressure conditions of the steam pipeline and the lubricating oil pipeline, ensure their operation within a reasonable range, quickly judge whether the pressure state is qualified, and facilitate the timely discovery and handling of abnormalities.

[0052] It should be noted that in a specific embodiment, can be set to 0.6, can be set to 0.4. The steam pressure has a direct and crucial impact on the output, efficiency, etc. of the steam turbine unit. Its stability is related to the operating performance and energy conversion efficiency of the entire unit. The lubricating oil pressure mainly affects the lubrication effect and the protection of components. Although it is also very important, its direct impact on the overall operating state of the unit may be slightly weaker than that of the steam pressure. Therefore, the weight corresponding to the steam pressure is larger.

[0053] The operating characteristic parameter acquisition module is used to acquire the operating characteristic parameters of the steam turbine unit. The operating characteristic parameters include the rotational speed of the steam turbine runner, the cylinder expansion amount, and the abnormal sound coefficient.

[0054] The specific analysis method of the operating characteristic parameter acquisition module is as follows: First step, install a rotational speed sensor on the rotating shaft of the steam turbine to detect the rotational speed of the steam turbine runner at each time period, denoted as , and obtain the rotational speed of the steam turbine runner through the formula , represents the number of time periods. It can timely understand the operating speed state of the steam turbine, ensure its rotational speed is within the normal range, guarantee the safe and stable operation of the equipment, and help discover abnormal fluctuations or changes in the rotational speed, and give early warnings of possible faults or problems.

[0055] Second step, detect the axial displacement amount of the cylinder at each time point through a linear displacement sensor installed at the set measurement position of the cylinder, denoted as the axial displacement amount of the cylinder at each time point, and obtain the axial movement distance of the cylinder by accumulating it, denoted as . At the same time, analyze the radial movement distance of the cylinder according to the method of analyzing the axial movement distance of the cylinder, denoted as , substitute it into the formula to obtain the cylinder expansion amount of the steam turbine unit, represents the natural constant, Represents the set reference value of the moving distance; it can grasp the running state of the cylinder in the axial and radial directions in real time, detect abnormal displacement situations in a timely manner, help evaluate the stability and safety of the cylinder, facilitate the early discovery of potential fault hazards, and take targeted maintenance and adjustment measures to ensure the reliable operation of the equipment.

[0056] Please refer to Figure 2 As shown, the specific analysis method of the abnormal sound coefficient of the steam turbine unit is as follows: First step, collect the noise value of the working environment of the steam turbine unit, record it as the initial environmental noise value, and monitor the noise during the operation of the steam turbine unit, record it as the operation noise of the steam turbine unit; it can detect the abnormal increase in noise in a timely manner, which may indicate that there are faults or abnormal operations in the steam turbine unit, and help to carry out maintenance and overhaul in advance.

[0057] Second step, obtain the decibel values of the operation noise of the steam turbine unit at each frequency point, obtain the actual decibel values of each frequency point of the operation noise of the steam turbine unit by subtracting it from the noise value of the working environment of the steam turbine unit, and compare it with the preset maximum decibel value. If the actual decibel value of a certain frequency point is greater than the preset maximum decibel value, then record this frequency point as the abnormal sound frequency point; it can accurately locate the specific frequency point where the abnormal noise occurs, and help to more accurately judge the fault location or abnormal source.

[0058] Third step, count the decibel values of the noise at each abnormal sound frequency point of the operation noise of the steam turbine unit, and analyze to obtain the abnormal sound coefficient of the steam turbine unit; it can understand the abnormal noise situation of the steam turbine unit more comprehensively and accurately, have a deeper understanding of its overall operation state, and at the same time facilitate the horizontal comparison of the abnormal noise performance of different steam turbine units, and promote the improvement of management and technical levels.

[0059] It should be noted that the specific analysis method of the abnormal sound coefficient of the steam turbine unit is: count the decibel values of the noise at each abnormal sound frequency point of the operation noise of the steam turbine unit, and record it as [[ID=IS15]] where [[ID=IS17]] represents the serial number of the [[ID=IS19]] th abnormal sound frequency point, [[ID=IS21]] , through the formula [[ID=IS23]] obtain the abnormal sound coefficient [[ID=IS25]] of the steam turbine unit, [[ID=IS27]] represents the number of abnormal sound frequency points.

[0060] The operation characteristic parameter analysis module is used to analyze the operation characteristic evaluation index of the steam turbine unit according to the operation characteristic parameters of the steam turbine unit and give feedback.

[0061] The specific analysis method of the operation characteristic parameter analysis module is: read the rotational speed [[ID=IS35]] of the steam turbine runner, [[ID=IS37]] the cylinder expansion amount [[ID=IS38]] , the abnormal sound coefficient, and record the abnormal sound coefficient as [[ID=IS39]] and substitute it into the formula to obtain the operation characteristic evaluation index of the steam turbine unit , where respectively represent the weight factors of the set runner speed, cylinder expansion amount, and abnormal sound coefficient respectively represent the reference values of the preset runner speed and cylinder expansion amount represents the natural constant. Compare the operation characteristic evaluation index of the steam turbine unit with the preset operation characteristic evaluation index threshold. If the operation characteristic evaluation index of the steam turbine unit is greater than or equal to the preset operation characteristic evaluation index threshold, it indicates that the operation characteristic evaluation index of the steam turbine unit is qualified; otherwise, it indicates that it is not suitable, and feedback is given to the system. By comprehensively considering important indicators such as the runner speed, cylinder expansion amount, and abnormal sound coefficient, the actual operation status of the steam turbine unit can be more comprehensively and accurately reflected, potential problems can be discovered in a timely manner and feedback can be provided, which is conducive to taking corresponding maintenance or adjustment measures to ensure the safe, stable, and efficient operation of the steam turbine unit.

[0062] It should be noted that in a specific embodiment can be set to 0.4 can be set to 0.4 can be set to 0.2. The runner speed directly reflects the power output and operation status of the unit, which has an important impact on the performance and stability of the unit. The cylinder expansion amount is also relatively important, which can reflect the state change of the unit after heating and is closely related to the safety and reliability of the unit. The abnormal sound coefficient may have a relatively small impact, but it cannot be ignored because abnormal sounds may imply potential problems in the unit. Therefore, the weights corresponding to the runner speed and cylinder expansion amount are relatively high.

[0063] An oil evaluation module is used to detect the viscosity, cleanliness, and moisture content of the oil of the steam turbine unit, analyze to obtain the oil evaluation coefficient of the steam turbine unit, and give feedback

[0064] Please refer to Figure 3 as shown. The specific analysis method of the oil evaluation module is as follows: First step, extract a set amount from the oil of the steam turbine unit as a sample, denoted as the oil sampling sample. Suck the oil sampling sample into a viscometer and let it flow through the capillary naturally by gravity. Record the time taken for the oil to flow from the starting scale line to the ending scale line of the capillary, denoted as the oil flow time of the steam turbine unit. Obtain the viscosity of the oil of the steam turbine unit through the viscosity calculation formula, denoted as ; accurately understand the viscous condition of the oil. Viscosity has an important impact on functions such as lubrication and sealing of the oil, so as to evaluate the guarantee ability of the oil for the operation of the steam turbine unit. At the same time, it can timely detect whether the oil has problems such as deterioration and degradation, so as to replace or process the oil in a timely manner to ensure the normal operation of the unit.

[0065] It should be noted that the specific analysis method for the viscosity of the turbine unit oil is as follows: Record the flowing time of the turbine unit oil as , and obtain the viscosity of the turbine unit oil through the formula , where represents the capillary radius, represents the liquid column pressure difference, represents the volume flowing through the capillary, represents the capillary length.

[0066] Second step, inject the randomly selected oil sample into the particle counter, divide the particle size range according to the setting, record it as each particle size range, count the number of particles in each particle size range, and at the same time divide each particle size range into a smaller particle size interval and a larger particle size interval according to the set particle size threshold, and select the number of particles corresponding to the smaller particle size interval and the larger particle size interval from the number of particles in each particle size range, and record them as , and obtain the cleanliness of the turbine unit oil through the formula , , respectively represent the reference number of particles in the preset smaller particle size interval and larger particle size interval, represents the weighting factor of the number of particles corresponding to the set smaller particle size interval and larger particle size interval; being able to accurately grasp the cleanliness of the oil is crucial for the normal operation of the turbine unit. Poor cleanliness may lead to problems such as wear and failures. At the same time, by dividing the particle size range and counting the number of particles, the specific situation of impurities in the oil can be understood in detail, which is convenient for taking targeted improvement measures.

[0067] It should be noted that in a specific embodiment, can be set to 0.6, can be set to 0.4. Smaller particles are more likely to enter the precision components and gaps of the unit, having a more serious impact on aspects such as wear and lubrication of the unit, and thus affecting the performance and reliability of the unit. Relatively speaking, larger particles may be more easily intercepted by the filtration system, and the direct harm to the unit may be relatively small. Therefore, the weight corresponding to the number of smaller particles is higher.

[0068] Third step, also add the randomly selected oil sample to the titration cell, start the titration device to inject the Karl Fischer reagent into the titration cell, and at the same time use a potentiometer to monitor the potential in real time. When the potential reaches the set value, stop the titration, record the amount of Karl Fischer reagent consumed in the titration, calculate the water content of the turbine unit oil, and obtain the water content rate of the turbine unit oil by dividing it by the total amount of the randomly selected oil sample, and record it as ;It is convenient to understand the water content of the oil fluid. Excessive water content may affect the performance of the oil fluid and the operation of the equipment. Timely detection allows for taking corresponding measures to avoid potential problems, ensuring that the oil fluid is within an appropriate moisture content range, maintaining its good lubrication, cooling and other functions, and extending the service life of the equipment.

[0069] It should be noted that the specific analysis method for the moisture content of the oil fluid of the steam turbine unit is as follows: Read the amount of Karl Fischer reagent consumed, denoted as , and at the same time, extract the amount of the sampled oil fluid, denoted as , and substitute it into the formula , where represents the concentration of the Karl Fischer reagent.

[0070] The specific analysis method for the oil fluid evaluation coefficient of the steam turbine unit is as follows: Read the viscosity , cleanliness , and moisture content of the oil fluid of the steam turbine unit, and substitute them into the formula to obtain the oil fluid evaluation coefficient of the steam turbine unit. represents the set viscosity reference value, respectively represent the weight factors of the set viscosity, cleanliness, and moisture content of the oil fluid. Compare the oil fluid evaluation coefficient of the steam turbine unit with the preset oil fluid evaluation coefficient threshold. If the oil fluid evaluation coefficient of the steam turbine unit is greater than or equal to the preset oil fluid evaluation coefficient threshold, it indicates that the oil fluid evaluation coefficient of the steam turbine unit is qualified; otherwise, it indicates unqualified, and feedback it to the system; Timely feedback of the evaluation result to the system helps relevant personnel understand the oil fluid state in a timely manner, take corresponding maintenance, treatment or replacement measures, and ensure the safe and stable operation of the steam turbine unit.

[0071] It should be noted that in a specific embodiment, can be set to 0.4, can be set to 0.4, can be set to 0.2. Pollutants such as impurity particles in the oil fluid will cause serious impacts such as wear and blockage on various components of the steam turbine unit, which is directly related to the operation stability and reliability of the unit and has a great impact on the equipment life. Viscosity is also relatively important because inappropriate viscosity will affect the fluidity and lubrication performance of the oil fluid, thereby affecting the working efficiency of the unit and the normal operation of the components. The moisture content has a relatively smaller impact. Although moisture will have a certain impact on the performance of the oil fluid, generally its harm degree is not as critical as cleanliness and viscosity, unless the moisture content is too high, which will cause more obvious adverse effects. Therefore, the weights corresponding to the viscosity and cleanliness of the oil fluid are relatively high.

[0072] The management database is used to store the preset maximum decibel value.

[0073] The present invention analyzes the mechanical state evaluation coefficient of the steam turbine unit based on the mechanical state parameters of the steam turbine unit, analyzes the temperature and pressure evaluation coefficients of the steam turbine unit based on the temperature and pressure parameters of the steam turbine unit, analyzes the operation characteristic evaluation index of the steam turbine unit based on the operation characteristic parameters of the steam turbine unit, analyzes the oil evaluation coefficient of the steam turbine unit based on the viscosity, cleanliness, and water content of the oil of the steam turbine unit, and feeds back to the system, so as to deeply understand the actual situation of the steam turbine unit from multiple aspects such as mechanical state, temperature and pressure, operation characteristics, and oil condition, and realize comprehensive and detailed monitoring and analysis.

[0074] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention, and still be covered by the protection scope of the present invention.

Claims

1. An intelligent monitoring and early warning system for the state of a steam turbine unit, characterized in that, The system specifically includes the following modules: A mechanical state detection module, which is used to detect the mechanical state parameters of the steam turbine unit. The mechanical state parameters include the vibration frequency, vibration displacement of each device, and the clearance size between the static and moving parts; A mechanical state analysis module, which is used to analyze the mechanical state evaluation coefficient of the steam turbine unit based on the mechanical state parameters of the steam turbine unit; Obtain the vibration frequency α of each device of the steam turbine unit through analysis i , vibration displacement d i , clearance size Δd between static and moving parts i , and substitute them into the formula to obtain the mechanical state evaluation coefficient χ of the steam turbine unit. α0, d0, and Δd0 respectively represent the reference values of the preset vibration frequency, vibration displacement, and clearance size between static and moving parts. φ1, φ2, and φ3 respectively represent the weighting factors of the set vibration frequency, vibration displacement, and clearance size between static and moving parts. e represents the natural constant. Compare the mechanical state evaluation coefficient of the steam turbine unit with the preset mechanical state evaluation coefficient threshold. If the mechanical state evaluation coefficient of the steam turbine unit is greater than or equal to the preset mechanical state evaluation coefficient threshold, it means that the mechanical state evaluation coefficient of the steam turbine unit is qualified; otherwise, it means that the mechanical state evaluation coefficient of the steam turbine unit is unqualified, and feedback is given to the system; A temperature detection and analysis module, which is used to detect the temperature parameters of the steam turbine unit and analyze the temperature evaluation coefficient of the steam turbine unit. Specifically: detection points are taken on the bearing bush, cylinder, and steam pipeline, temperature data is collected at set times, the temperature fluctuation degree of each component is calculated by taking the average value, and then the temperature evaluation coefficient is analyzed. After comparing it with the preset threshold, it can be determined whether the temperature evaluation coefficient of the steam turbine unit is qualified and feedback is given; The temperature parameters include the temperature fluctuation degrees of the bearing bush, cylinder, and steam pipeline; A pressure detection and analysis module, which is used to detect the pressure parameters of the steam turbine unit, analyze the pressure evaluation coefficient of the steam turbine unit, and give feedback. The pressure parameters include the steam pressure at each time point of the steam pipeline and the lubricating oil pressure at each time point of the lubricating oil pipeline; An operating characteristic parameter acquisition module, which is used to acquire the operating characteristic parameters of the steam turbine unit. The operating characteristic parameters include the rotational speed of the steam turbine runner, the cylinder expansion amount, and the abnormal sound coefficient; An operating characteristic parameter analysis module, which is used to analyze the operating characteristic evaluation index of the steam turbine unit based on the operating characteristic parameters of the steam turbine unit and give feedback; An oil evaluation module, which is used to detect the viscosity, cleanliness, and moisture content of the oil of the steam turbine unit, analyze the oil evaluation coefficient of the steam turbine unit, and give feedback; A management database, which is used to store the preset maximum decibel value.

2. The intelligent monitoring and early warning system for the state of a steam turbine unit according to claim 1, characterized in that The specific analysis method of the mechanical state detection module is: The first step is to number each device of the steam turbine unit as 1, 2, ..., i, ..., n, select a positioning point on each device of the steam turbine unit, and obtain the three-dimensional coordinates of each positioning point of the steam turbine unit, which is recorded as (x i ,y i ,z i ), and divide the time period into sections according to the set time length, and use the vibration sensor to detect the vibration times of each device of the steam turbine unit in each time period, which is recorded as N im , m represents the number of the mth time period, m=1,2,...,q, and the set duration is recorded as Δt, through the formula Get the vibration frequency α of each device in the steam turbine unit i , i represents the number of equipment in the steam turbine unit, and after each equipment in the steam turbine unit stops working, the three-dimensional coordinates of each equipment positioning point in the steam turbine unit are obtained again, which is recorded as (x' i ,y' i ,z' i ), substitute it into the formula Obtain the vibration displacement d of each device of the steam turbine unit i ; Second step, select a number of measurement points on the static and moving components of each device of the steam turbine unit, denoted as the measurement points of each device of the steam turbine unit. At the same time, select a fixed reference plane, and use laser ranging equipment to measure the distances from the measurement points of each device of the steam turbine unit to the reference plane respectively, denoted as d'. if , where f represents the number of the f-th measurement point, f = 1, 2,..., k. Select position points according to the set positions, denoted as each position point. When the static and moving components move to each position point, measure the distances from the measurement points of each device of the steam turbine unit to the reference plane again, and denote the measured distances from the measurement points of each device of the steam turbine unit to the reference plane as d'. ifj , where j represents the number of the j-th position point. For \(j = 1, 2, \cdots, g\), substituting it into the formula the clearance size \(\Delta d\) between the moving and static parts of each device of the steam turbine unit is obtained i , where \(g\) represents the number of position points and \(k\) represents the number of measurement points.

3. An intelligent monitoring and early warning system for the state of a steam turbine unit according to claim 1, characterized in that, The specific analysis method of the temperature detection and analysis module is: Take a number of detection points on the bearing bush, cylinder, and steam pipeline of the steam turbine unit equipment respectively, and take a number of time points at set times, denoted as each time point of each detection point. Detect the temperatures of each detection point of the bearing bush, cylinder, and steam pipeline at each time point through temperature sensors, denoted as s represents the number of the s-th detection point, s = 1, 2,..., r, a represents the number of the a-th time point, a = 1, 2,..., b. The average temperature of each detection point of the bearing bush at each time point is obtained, denoted as Substitute it into the formula to obtain the temperature fluctuation degree γ of the bearing bush 1 , b represents the number of time points, r represents the number of detection points. Analyze the temperatures of each detection point of the cylinder and steam pipeline at each time point according to the method of analyzing the temperature fluctuation degree of the bearing bush to obtain the temperature fluctuation degrees of the cylinder and steam pipeline, denoted as γ 2 and γ 3 . Through the formula obtain the temperature evaluation coefficient ω of the steam turbine unit. Compare the temperature evaluation coefficient of the steam turbine unit with the preset temperature evaluation coefficient threshold. If the temperature evaluation coefficient of the steam turbine unit is greater than or equal to the preset temperature evaluation coefficient threshold, it means that the temperature evaluation coefficient of the steam turbine unit is qualified; otherwise, it means that the temperature evaluation coefficient of the steam turbine unit is unqualified, and give feedback on it.

4. An intelligent monitoring and early warning system for the state of a steam turbine unit according to claim 3, characterized in that, The specific analysis method of the pressure detection and analysis module is: The air pressure at each detection point of the steam pipeline at each time point is detected by a pressure sensor and denoted as P sa , and through the formula the steam pressure P at each time point of the steam pipeline is obtained a , r represents the number of detection points. At the same time, detection points are selected at a set distance in the lubricating oil pipeline and denoted as the detection points of each lubricating oil pipeline. The pressure at each time point of each lubricating oil pipeline detection point is detected and analyzed by the method of analyzing the steam pressure at each time point of the steam pipeline, and the lubricating oil pressure at each time point of the lubricating oil pipeline is obtained and denoted as P' a , and it is substituted into the formula to obtain the pressure evaluation coefficient of the steam turbine unit b represents the number of time points, P0 represents the set reference steam pressure, and P'0 represents the set reference lubricating oil pressure respectively represent the weight factors of the set steam pressure and lubricating oil pressure. The pressure evaluation coefficient of the steam turbine unit is compared with the preset pressure evaluation coefficient threshold. If the pressure evaluation coefficient of the steam turbine unit is greater than or equal to the preset pressure evaluation coefficient threshold, it means that the pressure evaluation coefficient of the steam turbine unit is qualified; otherwise, it means that the pressure evaluation coefficient of the steam turbine unit is unqualified, and feedback is given 5. The intelligent monitoring and early warning system for the state of a steam turbine unit according to claim 2, characterized in that, The specific analysis method of the operating characteristic parameter acquisition module is: First step, install the rotational speed sensor on the rotating shaft of the steam turbine to detect the rotational speed of the steam turbine runner in each time period, denoted as v m , through the formula obtain the rotational speed v of the steam turbine runner, where q represents the number of time periods; Step 2: Detect the axial displacement of the cylinder at each time point through the linear displacement sensor installed at the set measurement position, denoted as the axial displacement of the cylinder at each time point, and obtain the axial movement distance of the cylinder by accumulating it, denoted as l. At the same time, analyze the radial movement distance of the cylinder according to the method of analyzing the axial movement distance of the cylinder, denoted as l', and substitute it into the formula to obtain the cylinder expansion of the steam turbine unit where e represents the natural constant and l0 represents the set reference value of the movement distance 6. The intelligent monitoring and early warning system for the state of a steam turbine unit according to claim 5, characterized in that, The specific analysis method of the abnormal sound coefficient of the steam turbine unit is: First step, collect the noise value of the working environment of the steam turbine unit, record it as the initial environmental noise value, and monitor the noise during the operation of the steam turbine unit, record it as the operation noise of the steam turbine unit; Second step, obtain the decibel values of the operation noise of the steam turbine unit at each frequency point. By subtracting the noise value of the working environment of the steam turbine unit from it, obtain the actual decibel values of each frequency point of the operation noise of the steam turbine unit, and compare it with the preset maximum decibel value. If the actual decibel value at a certain frequency point is greater than the preset maximum decibel value, then record this frequency point as the abnormal sound frequency point; Third step, count the decibel values of the noise at each abnormal sound frequency point of the operation noise of the steam turbine unit, and analyze the abnormal sound coefficient of the steam turbine unit.

7. An intelligent monitoring and early warning system for the state of a steam turbine unit according to claim 6, characterized in that, The specific analysis method of the operating characteristic parameter analysis module is: The rotational speed v of the steam turbine runner and the cylinder expansion amount are read The abnormal sound coefficient. Denote the abnormal sound coefficient as τ and substitute it into the formula to obtain the operation characteristic evaluation index of the steam turbine unit where κ1, κ2, and κ3 respectively represent the weight factors of the set runner rotational speed, cylinder expansion amount, and abnormal sound coefficient, v0, respectively represent the reference values of the preset runner rotational speed and cylinder expansion amount, e represents the natural constant. Compare the operation characteristic evaluation index of the steam turbine unit with the preset operation characteristic evaluation index threshold. If the operation characteristic evaluation index of the steam turbine unit is greater than or equal to the preset operation characteristic evaluation index threshold, it indicates that the operation characteristic evaluation index of the steam turbine unit is qualified; otherwise, it indicates that it is unqualified, and feedback it to the system 8. An intelligent monitoring and early warning system for the state of a steam turbine unit according to claim 1, characterized in that, The specific analysis method of the oil evaluation module is: First step: Extract a set amount from the turbine unit oil as a sample, denoted as the oil sampling and inspection sample. Inhale the oil sampling and inspection sample into a viscometer, and let it flow through the capillary tube naturally by gravity. Record the time taken for the oil to flow from the starting scale line to the ending scale line of the capillary tube, denoted as the oil flow time of the turbine unit. Obtain the viscosity of the turbine unit oil through the viscosity calculation formula, denoted as ξ; In the second step, inject the sampled oil into the particle counter, divide the particle size range according to the setting, record it as each particle size range, count the number of particles in each particle size range, and at the same time divide each particle size range into a smaller particle size interval and a larger particle size interval according to the set particle size threshold. Screen out the particle numbers corresponding to the smaller particle size interval and the larger particle size interval from the particle numbers in each particle size range, and record them as ε and ε' respectively. Through the formula obtain the cleanliness λ of the oil of the steam turbine unit. ε0 and ε'0 respectively represent the reference particle numbers of the preset smaller particle size interval and larger particle size interval, and μ1 and μ2 represent the weighting factors of the particle numbers corresponding to the set smaller particle size interval and larger particle size interval; Third step: Also add the oil sampling and inspection sample to the titration cell. Start the titration device to inject the Karl Fischer reagent into the titration cell, and at the same time use a potentiometer to monitor the potential in real time. Stop titration when the potential reaches the set value, record the amount of Karl Fischer reagent consumed in the titration, calculate the water content of the turbine unit oil, and obtain the water content rate of the turbine unit oil by dividing it by the total amount of the oil sampling and inspection sample, denoted as Q.

9. The intelligent monitoring and early warning system for the state of a steam turbine unit according to claim 8, characterized in that, The specific analysis method of the turbine unit oil evaluation coefficient is as follows: Read the viscosity ξ, cleanliness λ, and water content Q of the oil in the steam turbine unit, and substitute them into the formula Obtain the oil evaluation coefficient l of the steam turbine unit. ξ0 represents the set reference value of viscosity, and w1, w2, and w3 respectively represent the weight factors of the set viscosity, cleanliness, and water content of the oil. Compare the oil evaluation coefficient of the steam turbine unit with the preset oil evaluation coefficient threshold. If the oil evaluation coefficient of the steam turbine unit is greater than or equal to the preset oil evaluation coefficient threshold, it means that the oil evaluation coefficient of the steam turbine unit is qualified; otherwise, it means it is unqualified, and feedback it to the system.

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