Steam turbine lubricating oil temperature control method and system

Abstract

The invention provides a steam turbine lubricating oil temperature control method and system, and relates to the technical field of temperature control, and the method comprises the steps: combining the position information of a preset point and preset monitoring equipment arranged at the preset point to construct a monitoring equipment array; real-time temperature of lubricating oil of each steam turbine in the steam turbine set is obtained in real time, and initial temperature data are output; preprocessing the initial temperature data to obtain first data, and analyzing the first data to obtain a first analysis result; and in combination with a preset result-strategy matching table, obtaining a matched temperature control strategy and a temperature control method under the corresponding strategy, adjusting the operation parameters of the corresponding temperature control equipment based on the temperature control strategy and the temperature control method, and continuously optimizing the temperature control strategy and the temperature control method based on process data in the adjustment process. Temperature data of the lubricating oil in the steam turbine can be monitored in real time, the temperature adjusting precision of the lubricating oil in the steam turbine is improved, resources are saved, and stable operation of the steam turbine is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control, and in particular to a method and system for controlling the temperature of lubricating oil of a steam turbine. Background Art

[0002] Oil is an indispensable working fluid in the operation of steam turbine generator sets. The oil system of the steam turbine plays the role of lubrication, control, cooling and sealing. Its normal operation is a necessary condition to ensure the normal operation of the steam turbine and even the entire unit.

[0003] At present, the lubricating oil is usually cooled by circulating water in steam turbine generator sets, and the lubricating oil temperature is mainly regulated by manually adjusting the opening of the circulating water inlet valve of the oil cooler. This artificial temperature control method has a certain hysteresis, which may cause the lubricating oil temperature in the steam turbine to be too high or too low. Among them, when the oil temperature is too low, the viscosity of the lubricating oil increases, and the oil film cannot be effectively established and cannot play a lubricating role, and even induces unit vibration, affecting the safe operation of the unit; when the oil temperature is too high, the viscosity of the lubricating oil decreases, and it cannot play a cooling role, and cannot effectively take away the heat generated by the friction between the shaft and the oil film. Therefore, this artificial temperature control method will not only affect the accuracy of the steam turbine lubricating oil temperature regulation, affect the normal operation of the steam turbine, but may also cause steam turbine operation accidents over time.

[0004] Therefore, the present invention provides a method and system for controlling the temperature of lubricating oil of a steam turbine. Summary of the invention

[0005] The present invention provides a steam turbine lubricating oil temperature control method and system, which can not only monitor the temperature data of the lubricating oil in the steam turbine in real time, but also improve the accuracy of steam turbine lubricating oil temperature regulation. At the same time, it improves the automation level of steam turbine lubricating oil temperature control, saves resources and ensures the stable operation of the steam turbine.

[0006] In one aspect, the present invention provides a method for controlling the temperature of a steam turbine lubricating oil, comprising:

[0007] Step 1: setting preset monitoring devices at multiple preset points in the steam turbine unit, and constructing a monitoring device array in combination with the position information of the preset points and the device information of the preset monitoring devices;

[0008] Step 2: Based on the monitoring device array, the real-time temperature of the lubricating oil of each steam turbine in the steam turbine unit is obtained in real time, and the initial temperature data is output;

[0009] Step 3: preprocessing the initial temperature data using a preset preprocessing method to obtain first data, and analyzing the first data based on a preset analysis method to obtain a first analysis result;

[0010] Step 4: In combination with the preset result-strategy matching table, obtain the temperature control strategy that matches the first analysis result and the temperature control method under the corresponding strategy, adjust the operating parameters of the corresponding temperature control equipment based on the temperature control strategy and temperature control method, and continuously optimize the temperature control strategy and temperature control method based on the process data during the adjustment process.

[0011] Preferably, before setting the preset monitoring devices at the plurality of preset points in the steam turbine unit, the method includes:

[0012] Acquire temperature control demand information of the steam turbine unit, and parse to obtain first demand information corresponding to the temperature control demand of the steam turbine lubricating oil;

[0013] Based on the first requirement information, a matching preset monitoring device is obtained in a preset requirement-device matching table.

[0014] Preferably, step 2 includes:

[0015] Based on the monitoring device array, the real-time temperature of the lubricating oil of each steam turbine in the steam turbine unit is obtained to obtain first temperature data;

[0016] At the same time, in combination with the position information of each preset monitoring device in the monitoring device array and the acquisition time of the first temperature data, the first temperature data is positionally marked and time-marked to obtain initial temperature data.

[0017] Preferably, preprocessing the initial temperature data using a preset preprocessing method to obtain first data includes:

[0018] Extracting features from the initial temperature data, and constructing a first feature set based on the extracted features;

[0019] Based on the first feature set, obtaining a preset preprocessing method matching the first feature set in a preset feature-method matching library;

[0020] The initial temperature data is preprocessed based on the preset preprocessing method to obtain first data.

[0021] Preferably, analyzing the first data based on a preset analysis method to obtain a first analysis result includes:

[0022] Based on the first feature set, selecting a matching preset analysis method from the preset feature-method matching library;

[0023] At the same time, data verification is performed on the first data, and the first data that meets the preset threshold condition is output as data to be analyzed;

[0024] Based on the preset analysis method, the data to be analyzed is analyzed to obtain a first analysis result.

[0025] Preferably, in step 4, combining a preset result-strategy matching table, obtaining a temperature control strategy matching the first analysis result and a temperature control method under the corresponding strategy includes:

[0026] Parsing the first analysis result to obtain a sub-result corresponding to each steam turbine in the steam turbine group;

[0027] Combined with the preset sub-result-state analysis table, obtain the first state of each steam turbine in the steam turbine unit and the second state of the corresponding steam turbine lubricating oil;

[0028] outputting a unit state determination result based on the first state and the second state corresponding to each steam turbine in the steam turbine unit;

[0029] Input the sub-result into a preset result-factor comparison table to obtain a first screening factor corresponding to the sub-result;

[0030] At the same time, the unit state determination result is input into the preset result-factor comparison table to obtain a second screening factor;

[0031] Based on the first screening factor and the second screening factor, a temperature control strategy is matched in a strategy database;

[0032] At the same time, based on the monitoring device array and the first data, a thermal distribution diagram of the lubricating fluid of the unit is constructed;

[0033] Based on the temperature control strategy and the thermal distribution diagram of the lubricating fluid of the unit, the temperature control adjustment parameters of the temperature control device corresponding to each steam turbine in the steam turbine unit are obtained;

[0034] Summarizing the temperature control adjustment parameters corresponding to all steam turbines in the steam turbine unit to construct a temperature control adjustment parameter table for the first unit;

[0035] Acquire the connectivity relationship between the lubricating oil temperature control devices of each steam turbine in the steam turbine unit, and based on the connectivity relationship, perform collaborative analysis on the temperature control adjustment parameters in the temperature control adjustment parameter table of the first unit to obtain a collaborative analysis result;

[0036] Adjust the temperature control parameter table of the first unit based on the collaborative analysis result to obtain the temperature control parameter table of the second unit;

[0037] Based on the temperature control parameter table of the second unit and in combination with the preset parameter-method comparison table, a temperature control method matching the steam turbine unit is obtained.

[0038] Preferably, the connectivity relationship between the lubricating oil temperature control devices of each steam turbine in the steam turbine unit is obtained, and based on the connectivity relationship, the temperature control adjustment parameters in the temperature control parameter table of the first unit are collaboratively analyzed to obtain collaborative analysis results, including:

[0039] Obtain equipment parameters of each steam turbine in the temperature control parameter table of the first unit, and output the unit equipment parameter table;

[0040] Based on the unit equipment parameter table, current lubricating oil category data and performance parameters of each steam turbine are obtained in the lubricating oil injection log, and standard parameter information of each steam turbine lubricating oil in the unit equipment parameter table is obtained in the standard database;

[0041] Comparing and analyzing the temperature control adjustment parameters corresponding to each steam turbine in the first unit temperature control adjustment parameter table with the standard parameter information to obtain a first comparison result;

[0042] Obtaining the first operating parameters corresponding to each device in the waste heat temperature control system and the second operating parameters corresponding to each device in the heating-cooling temperature control system in the unit, and summarizing and outputting the temperature control device operating parameter table;

[0043] At the same time, a first connectivity relationship between the devices in the waste heat temperature control system, a second connectivity relationship between the devices in the heating-cooling temperature control system, and a connection relationship between the waste heat temperature control system and the heating-cooling temperature control system are obtained;

[0044] Based on the first connectivity relationship, the second connectivity relationship and the connection relationship, comprehensively output a connectivity relationship;

[0045] Based on the temperature control equipment operation parameter table and the connectivity relationship, the first comparison result is input into a preset collaborative analysis module for collaborative analysis, a collaborative temperature control strategy is determined, and a collaborative analysis result is output;

[0046] ;

[0047] Wherein, S represents a coordinated temperature control strategy; S1 represents a strategy of temperature control only by the waste heat temperature control system; S2 represents a strategy of temperature control in combination with the waste heat temperature control system and the heating-cooling temperature control system; romA i represents the temperature control margin value of the i-th temperature control device in the waste heat temperature control system; m represents the total number of temperature control devices in the waste heat temperature control system; demB k represents the temperature control demand value of the lubricating oil of the kth steam turbine in the unit; l represents the total number of steam turbines in the unit; romC j represents the temperature control margin value of the jth temperature control device in the heating-cooling temperature control system; n represents the total number of temperature control devices in the heating-cooling temperature control system.

[0048] On the other hand, the present invention also provides a steam turbine lubricating oil temperature control system, comprising:

[0049] An array construction module, used to set preset monitoring devices at multiple preset points in the steam turbine unit, and to construct a monitoring device array in combination with the position information of the preset points and the device information of the preset monitoring devices;

[0050] A data acquisition module, used to acquire the real-time temperature of the lubricating oil of each steam turbine in the unit based on the monitoring device array, and output initial temperature data;

[0051] A data analysis module, configured to preprocess the initial temperature data using a preset preprocessing method to obtain first data, and analyze the first data based on a preset analysis method to obtain a first analysis result;

[0052] The temperature control-optimization module is used to combine the preset result-strategy matching table to obtain the temperature control strategy that matches the first analysis result and the temperature control method under the corresponding strategy, adjust the operating parameters of the corresponding temperature control equipment based on the temperature control strategy and temperature control method, and continuously optimize the temperature control strategy and temperature control method based on the process data during the adjustment process.

[0053] The present invention provides a steam turbine lubricating oil temperature control method and system. The present invention can realize accurate control and optimization of lubricating oil temperature by real-time monitoring of lubricating oil temperature and adjusting the operating parameters of the temperature control device according to the analysis results, thereby improving system stability and efficiency, extending equipment life, reducing maintenance costs, and improving operating efficiency and safety. At the same time, the present invention can also make lubricating oil temperature control more intelligent and efficient by continuously optimizing temperature control strategies and methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 It is a flow chart of a method for controlling lubricating oil temperature of a steam turbine provided by an embodiment of the present invention;

[0056] Figure 2 It is a schematic diagram of the framework of a steam turbine lubricating oil temperature control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] 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 below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0058] like Figure 1 As shown, a method for controlling the temperature of a steam turbine lubricating oil provided by an embodiment of the present invention includes:

[0059] Step 1: preset monitoring devices are set at multiple preset points in the steam turbine unit, and a monitoring device array is constructed by combining the location information of the preset points and the device information of the preset monitoring devices;

[0060] Step 2: Based on the monitoring device array, the real-time temperature of the lubricating oil of each steam turbine in the steam turbine unit is obtained in real time, and the initial temperature data is output;

[0061] Step 3: preprocessing the initial temperature data using a preset preprocessing method to obtain first data, and analyzing the first data based on a preset analysis method to obtain a first analysis result;

[0062] Step 4: Combine the preset result-strategy matching table to obtain the temperature control strategy that matches the first analysis result and the temperature control method under the corresponding strategy, adjust the operating parameters of the corresponding temperature control equipment based on the temperature control strategy and temperature control method, and continuously optimize the temperature control strategy and temperature control method based on the process data during the adjustment process.

[0063] In this embodiment, the preset point: a point at a specific location set in the steam turbine unit for monitoring the lubricating oil temperature;

[0064] In this embodiment, the preset monitoring device: a device installed at a preset point for monitoring the temperature of the lubricating oil, such as a temperature sensor;

[0065] In this embodiment, the position information: describes the specific position of the preset point in the steam turbine unit, including coordinate information or relative position information;

[0066] In this embodiment, the equipment information refers to the technical parameters, model, accuracy and other information of the preset monitoring equipment;

[0067] In this embodiment, the monitoring device array: an overall monitoring system consisting of a plurality of preset monitoring devices, used to monitor the lubricating oil temperature in real time;

[0068] In this embodiment, the initial temperature data is the temperature data of the lubricating oil of each steam turbine acquired in real time from the monitoring device array, for example, the lubricating oil temperature of steam turbine 1 is 70°C, the lubricating oil temperature of steam turbine 2 is 65°C, and the lubricating oil temperature of steam turbine 3 is 75°C;

[0069] In this embodiment, the pre-processing method is preset: a method for pre-processing the initial temperature data, including but not limited to data cleaning, data filtering, correction and other operations;

[0070] In this embodiment, first data: data obtained after preprocessing;

[0071] In this embodiment, the preset analysis method: a method for analyzing the first data, which may include statistical analysis, model recognition, etc.;

[0072] In this embodiment, the first analysis result is a result of the lubricating oil temperature obtained by a preset analysis method, for example, the lubricating oil temperature of turbine 1 is normal, the lubricating oil temperature of turbine 2 is low, and the lubricating oil temperature of turbine 3 is high;

[0073] In this embodiment, the preset result-strategy matching table: a matching table of temperature control strategies and methods corresponding to different analysis results that are preset;

[0074] In this embodiment, the temperature control strategy is a strategy for adjusting the lubricating oil temperature formulated according to the analysis results. For example, for steam turbine 2, the heating system is started to increase the lubricating oil temperature. For steam turbine 3, the refrigeration system is started to adjust the cooler to increase the cooling medium flow rate and reduce the lubricating oil temperature.

[0075] In this embodiment, the temperature control method: the method actually used to adjust the temperature of the lubricating oil, which may include adjusting the parameters of equipment such as a cooler and a heating system;

[0076] In this embodiment, process data refers to data acquired in real time during the adjustment process, which is used to optimize the temperature control strategy and method.

[0077] Implementation principle and beneficial effects of this embodiment: The present invention can realize accurate control and optimization of lubricating oil temperature by real-time monitoring of lubricating oil temperature and adjusting the operating parameters of the temperature control device according to the analysis results, thereby improving system stability and efficiency, extending equipment life, reducing maintenance costs, and improving operating efficiency and safety. At the same time, the present invention can also make lubricating oil temperature control more intelligent and efficient by continuously optimizing temperature control strategies and methods.

[0078] A steam turbine lubricating oil temperature control method provided by an embodiment of the present invention includes, before setting preset monitoring devices at multiple preset points in a steam turbine unit, the following steps:

[0079] Acquire temperature control demand information of the steam turbine unit, and parse to obtain first demand information corresponding to the temperature control demand of the steam turbine lubricating oil;

[0080] Based on the first requirement information, a matching preset monitoring device is obtained in a preset requirement-device matching table.

[0081] In this embodiment, the temperature control requirement information includes: the specific requirements of the steam turbine unit for lubricating oil temperature control, including the operating temperature range, stability requirements, etc.;

[0082] In this embodiment, the first demand information is specific demand information corresponding to the temperature control demand of the steam turbine lubricating oil obtained by parsing the temperature control demand information. For example, after obtaining the temperature control demand information, the following first demand information is obtained by parsing: the operating temperature range is 60°C-80°C, and the stability requirement is that the temperature fluctuation should be controlled within ±2°C;

[0083] In this embodiment, the preset demand-device matching table: a matching table of preset monitoring devices corresponding to different demand information, which is used to select appropriate monitoring devices according to the demand information. For example, the preset monitoring device A: is suitable for temperature monitoring in the range of 60°C-90°C, with high precision and good stability. The preset monitoring device B: is suitable for temperature monitoring in the range of 50°C-80°C, with a lower price and suitable for occasions with low requirements on precision. According to the first demand information, the preset monitoring device A may be selected as the monitoring device because the temperature range it covers is more suitable for the temperature control requirements of the turbine lubricating oil and has higher precision and stability.

[0084] Implementation principle and beneficial effects of this embodiment: By acquiring and parsing temperature control demand information, the present invention can more accurately determine the temperature control demand of the steam turbine lubricating oil, thereby selecting a suitable monitoring device. At the same time, the design of the preset demand-equipment matching table can make the selection of monitoring equipment more scientific and reasonable, and improve the accuracy and reliability of monitoring. The present invention can select a suitable monitoring device according to specific demand information, thereby ensuring the effectiveness and stability of lubricating oil temperature control. At the same time, through this method, the operating efficiency of the system can be improved, the equipment life can be extended, the maintenance cost can be reduced, and ultimately the performance and safety of the entire steam turbine unit can be optimized.

[0085] An embodiment of the present invention provides a method for controlling the temperature of a steam turbine lubricating oil, wherein step 2 comprises:

[0086] Based on the monitoring device array, the real-time temperature of the lubricating oil of each steam turbine in the steam turbine unit is obtained to obtain first temperature data;

[0087] At the same time, based on the position information of each preset monitoring device in the monitoring device array and the acquisition time of the first temperature data, the first temperature data is positionally marked and time-marked to obtain initial temperature data.

[0088] In this embodiment, the first temperature data: the real-time temperature data of the lubricating oil of each steam turbine acquired by the monitoring device array;

[0089] In this embodiment, the acquisition time refers to the specific time point or time period when the first temperature data is acquired;

[0090] In this embodiment, position marking: the first temperature data is matched with the position information of the monitoring device in the steam turbine unit, so that the source of the lubricating oil temperature can be accurately determined in subsequent analysis;

[0091] In this embodiment, time marking: the time when the first temperature data is obtained is marked in the data to track the temperature change over time, for example, the lubricating oil temperature of turbine 1: 70°C, position marking: area A, time marking: 2024-08-07 15:00, the lubricating oil temperature of turbine 2: 65°C, position marking: area B, time marking: 2024-08-07 15:00, the lubricating oil temperature of turbine 3: 75°C, position marking: area C, time marking: 2024-08-07 15:00.

[0092] The implementation principle and beneficial effects of this embodiment: By marking the position and time of the first temperature data, the present invention can better understand and analyze the source and change trend of the lubricating oil temperature data. This marking can help the monitoring system to more accurately monitor and control the lubricating oil temperature, improve the stability and efficiency of the system, and realize real-time monitoring and precise control of the turbine lubricating oil temperature.

[0093] A steam turbine lubricating oil temperature control method provided by an embodiment of the present invention preprocesses initial temperature data using a preset preprocessing method to obtain first data, including:

[0094] Extracting features from the initial temperature data, and constructing a first feature set based on the extracted features;

[0095] Based on the first feature set, obtaining a preset preprocessing method matching the first feature set in a preset feature-method matching library;

[0096] The initial temperature data is preprocessed based on a preset preprocessing method to obtain first data.

[0097] In this embodiment, the first feature set is a feature set obtained by extracting features from the initial temperature data, which is used to describe important features of the data and facilitate the subsequent selection of preprocessing methods, such as average temperature, temperature fluctuation range, temperature change rate, etc.

[0098] In this embodiment, a preset feature-method matching library: a matching relationship library between pre-set features and preprocessing methods, is used to select a suitable preprocessing method according to a feature set, for example, feature 1: average temperature → Gaussian filtering, feature 2: temperature fluctuation range → peak detection, feature 3: temperature change rate → differential filtering.

[0099] The implementation principle and beneficial effects of this embodiment: The present invention uses a preset preprocessing method to preprocess the initial temperature data, which can better extract the key features of the data and provide more accurate information for subsequent analysis and control. The present invention can optimize the data processing flow, improve the efficiency and accuracy of data processing, thereby better monitoring and controlling the lubricating oil temperature, and further improve the stability and performance of the system.

[0100] A steam turbine lubricating oil temperature control method provided by an embodiment of the present invention analyzes first data based on a preset analysis method to obtain a first analysis result, including:

[0101] Based on the first feature set, a matching preset analysis method is selected from a preset feature-method matching library;

[0102] At the same time, data verification is performed on the first data, and the first data that meets the preset threshold condition is output as data to be analyzed;

[0103] Based on a preset analysis method, the data to be analyzed is analyzed to obtain a first analysis result.

[0104] In this embodiment, preset analysis method: a method and technique for analyzing data that is preset, and a suitable analysis method is selected according to the features in the first feature set, for example, feature 1: average temperature → trend analysis, feature 2: temperature fluctuation range → spectrum analysis, trend analysis will be performed on data with an average temperature greater than 60°C, and spectrum analysis will be performed on temperature fluctuation range data;

[0105] In this embodiment, data verification: verifying the first data and screening out data that meets the preset conditions for subsequent analysis;

[0106] In this embodiment, preset threshold conditions: pre-set conditions or thresholds used to determine which data meet the requirements and can enter the subsequent analysis stage;

[0107] In this embodiment, the data to be analyzed: data that meets the preset threshold conditions after data verification is ready for subsequent analysis.

[0108] Implementation principle and beneficial effects of this embodiment: The present invention uses a preset analysis method to analyze the first data, and performs data verification to screen out qualified data, which can more accurately understand the characteristics and trends of the data and provide a more accurate basis for system monitoring and control. The present invention can help optimize the data analysis process, improve the accuracy and efficiency of data analysis, and further enhance the stability and performance of the system. At the same time, through effective data verification and analysis, the lubricating oil temperature can be better monitored and controlled to ensure the safe operation of the system.

[0109] In a steam turbine lubricating oil temperature control method provided by an embodiment of the present invention, in step 4, a temperature control strategy matching the first analysis result and a temperature control method under the corresponding strategy are obtained in combination with a preset result-strategy matching table, including:

[0110] Parsing the first analysis result to obtain a sub-result corresponding to each steam turbine in the steam turbine group;

[0111] Combined with the preset sub-result-state analysis table, obtain the first state of each steam turbine in the steam turbine unit and the second state of the corresponding steam turbine lubricating oil;

[0112] Outputting a unit state determination result based on a first state and a second state corresponding to each steam turbine in the steam turbine unit;

[0113] Input the sub-result into the preset result-factor comparison table to obtain the first screening factor corresponding to the sub-result;

[0114] At the same time, the unit status determination result is input into the preset result-factor comparison table to obtain the second screening factor;

[0115] Based on the first screening factor and the second screening factor, a temperature control strategy is matched in a strategy database;

[0116] At the same time, based on the monitoring device array and the first data, a thermal distribution diagram of the unit lubricating fluid is constructed;

[0117] Based on the temperature control strategy and the thermal distribution diagram of the unit lubricating fluid, the temperature control adjustment parameters of the temperature control equipment corresponding to each steam turbine in the steam turbine unit are obtained;

[0118] Summarize the temperature control adjustment parameters corresponding to all steam turbines in the steam turbine unit to construct a temperature control adjustment parameter table for the first unit;

[0119] Obtaining the connectivity relationship between the lubricating oil temperature control devices of each steam turbine in the steam turbine unit, and based on the connectivity relationship, performing collaborative analysis on the temperature control adjustment parameters in the temperature control adjustment parameter table of the first unit to obtain collaborative analysis results;

[0120] Based on the collaborative analysis results, the temperature control parameter table of the first unit is adjusted to obtain the temperature control parameter table of the second unit;

[0121] Based on the temperature control parameter table of the second unit and combined with the preset parameter-method comparison table, a temperature control method matching the steam turbine unit is obtained.

[0122] In this embodiment, the sub-result is the analysis content corresponding to each steam turbine in the steam turbine group obtained after analyzing the first analysis result;

[0123] In this embodiment, the preset sub-result-state analysis table: a table containing the comparison relationship between the sub-results and the states, which is preset and used to determine the state of the corresponding steam turbine and the working state of the lubricating oil according to the input sub-results;

[0124] In this embodiment, the first state: i.e., the state of the steam turbine, refers to the operating state and performance of the machine;

[0125] In this embodiment, the second state: corresponds to the state of the lubricating oil in the steam turbine, including but not limited to the temperature and viscosity of the lubricating oil;

[0126] In this embodiment, the unit state determination result: the state analysis result of each steam turbine in the steam turbine unit obtained according to the first state and the second state;

[0127] In this embodiment, the preset result-factor comparison table: a table containing mapping relationships between sub-results and unit state determination results and screening factors, is preset and used to obtain corresponding screening factors according to the input sub-results and unit state determination results;

[0128] In this embodiment, the first screening factor: that is, the screening factor corresponding to the sub-result;

[0129] In this embodiment, the second screening factor: that is, the screening factor corresponding to the unit state determination result;

[0130] In this embodiment, the strategy database: a database storing various temperature control strategies;

[0131] In this embodiment, the unit lubricating fluid thermal distribution diagram is used to display the thermal distribution of the lubricating fluid in the unit;

[0132] In this embodiment, the temperature control adjustment parameter: a parameter used to adjust the temperature of the lubricating fluid, such as a set temperature, an adjustment range, etc.;

[0133] In this embodiment, the temperature control parameter table of the first unit is a table obtained by summarizing the temperature control parameters corresponding to all steam turbines in the steam turbine unit;

[0134] In this embodiment, the connection relationship refers to the connection and influence relationship between the lubricating oil temperature control devices;

[0135] In this embodiment, the collaborative analysis result: the result obtained by collaborative analysis between lubricating oil temperature control devices is used to adjust the temperature control parameters;

[0136] In this embodiment, the temperature control parameter table of the second unit: the temperature control parameter table of the second unit adjusted according to the collaborative analysis result;

[0137] In this embodiment, the preset parameter-method comparison table is a pre-set table used to match specific parameters or results with corresponding processing methods or strategies, which can help determine the control strategy or method that should be adopted in specific circumstances.

[0138] Implementation principle and beneficial effects of this embodiment: By combining the preset result-strategy matching table and the preset parameter-method comparison table, the present invention can select a suitable temperature control strategy and method according to the actual situation and the first analysis result, thereby realizing accurate control and adjustment of the lubricating oil temperature. The implementation of this method can help optimize the selection of temperature control strategy, improve the stability and efficiency of the system, and ensure the safe operation of the steam turbine unit.

[0139] A steam turbine lubricating oil temperature control method provided by an embodiment of the present invention obtains the connectivity relationship between steam turbine lubricating oil temperature control devices in a steam turbine unit, and performs collaborative analysis on the temperature control adjustment parameters in the temperature control adjustment parameter table of the first unit based on the connectivity relationship to obtain a collaborative analysis result, including:

[0140] Obtain the equipment parameters of each steam turbine in the temperature control parameter table of the first unit, and output the unit equipment parameter table;

[0141] Based on the unit equipment parameter table, the current lubricating oil category data and performance parameters of each steam turbine are obtained in the lubricating oil injection log, and the standard parameter information of each steam turbine lubricating oil in the unit equipment parameter table is obtained in the standard database;

[0142] Compare and analyze the temperature control adjustment parameters corresponding to each steam turbine in the temperature control adjustment parameter table of the first unit with the standard parameter information to obtain a first comparison result;

[0143] Obtaining the first operating parameters corresponding to each device in the waste heat temperature control system and the second operating parameters corresponding to each device in the heating-cooling temperature control system in the unit, and summarizing and outputting the temperature control device operating parameter table;

[0144] At the same time, a first connectivity relationship between the devices in the waste heat temperature control system, a second connectivity relationship between the devices in the heating-cooling temperature control system, and a connection relationship between the waste heat temperature control system and the heating-cooling temperature control system are obtained;

[0145] Based on the first connectivity relationship, the second connectivity relationship and the connection relationship, comprehensively output the connectivity relationship;

[0146] Based on the temperature control equipment operation parameter table and the connectivity relationship, the first comparison result is input into a preset collaborative analysis module for collaborative analysis, a collaborative temperature control strategy is determined, and a collaborative analysis result is output;

[0147] ;

[0148] Among them, S represents the coordinated temperature control strategy; S1 represents the strategy of temperature control only through the waste heat temperature control system; S2 represents the strategy of temperature control combined with the waste heat temperature control system and the heating-cooling temperature control system; romA i represents the temperature control margin value of the i-th temperature control device in the waste heat temperature control system; m represents the total number of temperature control devices in the waste heat temperature control system; demB k represents the temperature control demand value of the lubricating oil of the kth steam turbine in the unit; l represents the total number of steam turbines in the unit; romC j represents the temperature control margin value of the jth temperature control device in the heating-cooling temperature control system; n represents the total number of temperature control devices in the heating-cooling temperature control system.

[0149] In this embodiment, the unit equipment parameter table: contains parameter information of each steam turbine lubricating oil temperature control device, and is used to record and manage relevant parameters of each device;

[0150] In this embodiment, the lubricating oil injection log records the injection status of the lubricating oil of each steam turbine in the steam turbine unit, including the category data and performance parameters of the lubricating oil;

[0151] In this embodiment, the standard database: stores standard parameter information of lubricating oil of each steam turbine in the unit equipment parameter table for comparative analysis;

[0152] In this embodiment, standard parameter information: parameter information of the equipment under standard conditions, such as standard flow rate and temperature range of lubricating oil;

[0153] In this embodiment, the first comparison result is a result obtained by comparing and analyzing the temperature control adjustment parameters of each steam turbine in the temperature control adjustment parameter table of the first unit with the standard parameter information;

[0154] In this embodiment, the first operating parameter: that is, the operating parameter of each device in the waste heat temperature control system;

[0155] In this embodiment, the second operating parameter: that is, the operating parameter of each device in the heating-cooling temperature control system;

[0156] In this embodiment, the temperature control device operating parameter table: a table summarizing the operating parameter information of each temperature control device;

[0157] In this embodiment, the first connectivity relationship: that is, the connectivity relationship between the devices in the waste heat temperature control system;

[0158] In this embodiment, the second connectivity relationship: that is, the connectivity relationship between the devices in the heating-cooling temperature control system;

[0159] In this embodiment, the connection relationship: the connection relationship between the waste heat temperature control system and the heating-cooling temperature control system;

[0160] In this embodiment, the collaborative temperature control strategy: the collaborative temperature control strategy adopted in different situations is determined according to the situations of the waste heat temperature control system and the heating-cooling temperature control system. For example, when the temperature control margin value of the temperature control device in the waste heat temperature control system is sufficient to meet the lubricating oil temperature control demand of the steam turbine in the unit, temperature control is performed only through the waste heat temperature control system, effectively utilizing the waste heat of the steam turbine and saving resources; when the temperature control margin value of the temperature control device in the waste heat temperature control system is insufficient to meet the lubricating oil temperature control demand of the steam turbine in the unit, it is necessary to use the waste heat temperature control system and the heating-cooling temperature control system in combination for temperature control; specifically, when the lubricating oil needs to be heated, the waste heat of the steam turbine can be used to heat the lubricating oil in the steam turbine; when the lubricating oil in the steam turbine needs to be cooled, the heat generated during the cooling of the lubricating oil can be used to preheat the steam turbine during startup.

[0161] The implementation principle and beneficial effects of this embodiment: The present invention can realize a more intelligent and coordinated temperature control strategy selection by comprehensively analyzing the unit equipment parameters and lubricating oil data, combined with the relationship between different temperature control systems. At the same time, it can make full use of the waste heat of the steam turbine, improve energy utilization, save resources and reduce the lubricating oil temperature control cost. The present invention can improve the efficiency and performance of the system, ensure that the lubricating oil temperature operates stably within a safe range, extend the equipment life, reduce maintenance costs, and thus optimize the performance and operation stability of the steam turbine unit.

[0162] like Figure 2 As shown, a steam turbine lubricating oil temperature control system provided by an embodiment of the present invention includes:

[0163] An array construction module, used to set preset monitoring devices at multiple preset points in the steam turbine unit, and to construct a monitoring device array in combination with the location information of the preset points and the device information of the preset monitoring devices;

[0164] A data acquisition module is used to obtain the real-time temperature of the lubricating oil of each steam turbine in the unit based on the monitoring device array and output the initial temperature data;

[0165] A data analysis module, configured to preprocess the initial temperature data using a preset preprocessing method to obtain first data, and analyze the first data based on a preset analysis method to obtain a first analysis result;

[0166] The temperature control-optimization module is used to combine the preset result-strategy matching table to obtain the temperature control strategy that matches the first analysis result and the temperature control method under the corresponding strategy, adjust the operating parameters of the corresponding temperature control equipment based on the temperature control strategy and temperature control method, and continuously optimize the temperature control strategy and temperature control method based on the process data during the adjustment process.

[0167] Implementation principle and beneficial effects of this embodiment: The present invention can realize accurate control and optimization of lubricating oil temperature by real-time monitoring of lubricating oil temperature and adjusting the operating parameters of the temperature control device according to the analysis results, thereby improving system stability and efficiency, extending equipment life, reducing maintenance costs, and improving operating efficiency and safety. At the same time, the present invention can also make lubricating oil temperature control more intelligent and efficient by continuously optimizing temperature control strategies and methods.

[0168] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling the temperature of a steam turbine lubricating oil, characterized in that: include: Step 1: setting preset monitoring devices at multiple preset points in the steam turbine unit, and constructing a monitoring device array in combination with the position information of the preset points and the device information of the preset monitoring devices; Step 2: Based on the monitoring device array, the real-time temperature of the lubricating oil of each steam turbine in the steam turbine unit is obtained in real time, and the initial temperature data is output; Step 3: preprocessing the initial temperature data using a preset preprocessing method to obtain first data, and analyzing the first data based on a preset analysis method to obtain a first analysis result; Step 4: In combination with the preset result-strategy matching table, obtain the temperature control strategy that matches the first analysis result and the temperature control method under the corresponding strategy, adjust the operating parameters of the corresponding temperature control equipment based on the temperature control strategy and temperature control method, and continuously optimize the temperature control strategy and temperature control method based on the process data during the adjustment process.

2. A steam turbine lubricating oil temperature control method according to claim 1, characterized in that: Before setting up preset monitoring devices at multiple preset points within the steam turbine unit, including: Acquire temperature control demand information of the steam turbine unit, and parse to obtain first demand information corresponding to the temperature control demand of the steam turbine lubricating oil; Based on the first requirement information, a matching preset monitoring device is obtained in a preset requirement-device matching table.

3. A steam turbine lubricating oil temperature control method according to claim 1, characterized in that: Step 2 includes: Based on the monitoring device array, the real-time temperature of the lubricating oil of each steam turbine in the steam turbine unit is obtained to obtain first temperature data; At the same time, in combination with the position information of each preset monitoring device in the monitoring device array and the acquisition time of the first temperature data, the first temperature data is positionally marked and time-marked to obtain initial temperature data.

4. A steam turbine lubricating oil temperature control method according to claim 1, characterized in that: Preprocessing the initial temperature data using a preset preprocessing method to obtain first data includes: Extracting features from the initial temperature data, and constructing a first feature set based on the extracted features; Based on the first feature set, obtaining a preset preprocessing method matching the first feature set in a preset feature-method matching library; The initial temperature data is preprocessed based on the preset preprocessing method to obtain first data.

5. A steam turbine lubricating oil temperature control method according to claim 4, characterized in that: Analyzing the first data based on a preset analysis method to obtain a first analysis result includes: Based on the first feature set, selecting a matching preset analysis method from the preset feature-method matching library; At the same time, data verification is performed on the first data, and the first data that meets the preset threshold condition is output as data to be analyzed; Based on the preset analysis method, the data to be analyzed is analyzed to obtain a first analysis result.

6. A method for controlling the temperature of lubricating oil of a steam turbine according to claim 1, characterized in that: In step 4, combining the preset result-strategy matching table, obtaining the temperature control strategy matching the first analysis result and the temperature control method under the corresponding strategy, including: Parsing the first analysis result to obtain a sub-result corresponding to each steam turbine in the steam turbine group; Combined with the preset sub-result-state analysis table, obtain the first state of each steam turbine in the steam turbine unit and the second state of the corresponding steam turbine lubricating oil; outputting a unit state determination result based on the first state and the second state corresponding to each steam turbine in the steam turbine unit; Input the sub-result into a preset result-factor comparison table to obtain a first screening factor corresponding to the sub-result; At the same time, the unit state determination result is input into the preset result-factor comparison table to obtain a second screening factor; Based on the first screening factor and the second screening factor, a temperature control strategy is matched in a strategy database; At the same time, based on the monitoring device array and the first data, a thermal distribution diagram of the lubricating fluid of the unit is constructed; Based on the temperature control strategy and the thermal distribution diagram of the lubricating fluid of the unit, the temperature control adjustment parameters of the temperature control device corresponding to each steam turbine in the steam turbine unit are obtained; Summarizing the temperature control adjustment parameters corresponding to all steam turbines in the steam turbine unit to construct a temperature control adjustment parameter table for the first unit; Acquire the connectivity relationship between the lubricating oil temperature control devices of each steam turbine in the steam turbine unit, and based on the connectivity relationship, perform collaborative analysis on the temperature control adjustment parameters in the temperature control adjustment parameter table of the first unit to obtain a collaborative analysis result; Adjust the temperature control parameter table of the first unit based on the collaborative analysis result to obtain the temperature control parameter table of the second unit; Based on the temperature control parameter table of the second unit and in combination with the preset parameter-method comparison table, a temperature control method matching the steam turbine unit is obtained.

7. A steam turbine lubricating oil temperature control method according to claim 6, characterized in that: The connectivity relationship between the lubricating oil temperature control devices of each steam turbine in the steam turbine unit is obtained, and based on the connectivity relationship, the temperature control adjustment parameters in the temperature control parameter table of the first unit are collaboratively analyzed to obtain collaborative analysis results, including: Obtain equipment parameters of each steam turbine in the temperature control parameter table of the first unit, and output the unit equipment parameter table; Based on the unit equipment parameter table, current lubricating oil category data and performance parameters of each steam turbine are obtained in the lubricating oil injection log, and standard parameter information of each steam turbine lubricating oil in the unit equipment parameter table is obtained in the standard database; Comparing and analyzing the temperature control adjustment parameters corresponding to each steam turbine in the first unit temperature control adjustment parameter table with the standard parameter information to obtain a first comparison result; Obtaining the first operating parameters corresponding to each device in the waste heat temperature control system and the second operating parameters corresponding to each device in the heating-cooling temperature control system in the unit, and summarizing and outputting the temperature control device operating parameter table; At the same time, a first connectivity relationship between the devices in the waste heat temperature control system, a second connectivity relationship between the devices in the heating-cooling temperature control system, and a connection relationship between the waste heat temperature control system and the heating-cooling temperature control system are obtained; Based on the first connectivity relationship, the second connectivity relationship and the connection relationship, comprehensively output a connectivity relationship; Based on the temperature control equipment operation parameter table and the connectivity relationship, the first comparison result is input into a preset collaborative analysis module for collaborative analysis, a collaborative temperature control strategy is determined, and a collaborative analysis result is output; ； Wherein, S represents a coordinated temperature control strategy; S1 represents a strategy of temperature control only by the waste heat temperature control system; S2 represents a strategy of temperature control in combination with the waste heat temperature control system and the heating-cooling temperature control system; romA i represents the temperature control margin value of the i-th temperature control device in the waste heat temperature control system; m represents the total number of temperature control devices in the waste heat temperature control system; demB k represents the temperature control demand value of the lubricating oil of the kth steam turbine in the unit; l represents the total number of steam turbines in the unit; romC j represents the temperature control margin value of the jth temperature control device in the heating-cooling temperature control system; n represents the total number of temperature control devices in the heating-cooling temperature control system.

8. A steam turbine lubricating oil temperature control system, characterized in that: include: An array construction module, used to set preset monitoring devices at multiple preset points in the steam turbine unit, and to construct a monitoring device array in combination with the position information of the preset points and the device information of the preset monitoring devices; A data acquisition module, used to acquire the real-time temperature of the lubricating oil of each steam turbine in the unit based on the monitoring device array, and output initial temperature data; A data analysis module, configured to preprocess the initial temperature data using a preset preprocessing method to obtain first data, and analyze the first data based on a preset analysis method to obtain a first analysis result; The temperature control-optimization module is used to combine the preset result-strategy matching table to obtain the temperature control strategy that matches the first analysis result and the temperature control method under the corresponding strategy, adjust the operating parameters of the corresponding temperature control equipment based on the temperature control strategy and temperature control method, and continuously optimize the temperature control strategy and temperature control method based on the process data during the adjustment process.

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