Power plant boiler heating surface metal operation data analysis method based on three-dimensional model

Abstract

The invention discloses a power plant boiler heating surface metal operation data analysis method based on a three-dimensional model, and belongs to the field of thermal power. The invention discloses a power plant boiler heating surface metal operation data analysis method based on a three-dimensional model. The method comprises the following steps: 1, generating a three-dimensional model of a power plant boiler; 2, performing three-dimensional simulation on the operation state of the power plant boiler; step 3, carrying out visual display on the temperature distribution and stress distribution conditions; 4, analyzing the operation data of the metal on the heating surface; and step 5, giving out light flickering and alarming an abnormal area under an abnormal condition. According to the invention, the problem that the prior art cannot analyze the operation condition of the heating surface metal according to the operation data of the heating surface so as not to carry out early warning on the fault of the heating surface metal is solved, the structure and operation data of the power plant boiler can be visually displayed, the operation efficiency and safety of the power plant are comprehensively improved, and the practicability is high. And faults caused by serious metal abrasion and corrosion of the heating surface of the power plant boiler are avoided.

Description

Technical Field

[0001] The invention relates to the field of thermal power technology, and in particular to a method for analyzing metal operation data of a heating surface of a boiler in a power plant based on a three-dimensional model. Background Art

[0002] Boilers are one of the most important main units of thermal power units, and it is crucial to ensure their safe and stable operation. At present, the most common boiler accident is "four-tube explosion". Since the reheater works in a harsh environment for a long time, the number of overheating and tube explosions accounts for the largest proportion.

[0003] The Chinese patent with publication number CN106642059A discloses an online monitoring method for the safety of high-temperature heating surfaces of power station boilers, including a data acquisition and preprocessing module, a boiler steady-state operating condition identification module, a boiler high-temperature heating surface wall temperature calculation module, and a high-temperature heating surface wall temperature safety warning module. The calculation steps are as follows: the data acquisition and preprocessing module collects data from the DCS or SIS system and performs preprocessing; the boiler steady-state operating condition identification module determines the current operating state of the boiler; when the boiler is in a steady-state operating condition, the boiler high-temperature heating surface wall temperature calculation module calculates the metal wall temperature of each high-temperature heating surface according to the inlet and outlet flue gas temperature and steam temperature of each high-temperature heating surface of the boiler, and the high-temperature heating surface wall temperature safety warning module performs online safety warning analysis on the metal wall temperature of each high-temperature heating surface, and outputs a wall temperature safety alarm when the wall temperature is abnormal, thereby realizing online monitoring of the safety of the high-temperature heating surface of the power station boiler and providing an important basis for the safe and stable operation of the power station boiler.

[0004] In actual use, the above patent can only monitor the high-temperature heating surface of the boiler, and cannot visualize the operating conditions of the boiler heating surface, resulting in the inability to analyze the operating conditions of the heating surface metal based on the operating data of the heating surface, and thus unable to provide early warning of heating surface metal failures; therefore, it does not meet existing needs. In this regard, we propose a method for analyzing the operating data of the heating surface metal of a power plant boiler based on a three-dimensional model. Summary of the invention

[0005] The purpose of the present invention is to provide a method for analyzing the operating data of the metal heating surface of a power plant boiler based on a three-dimensional model. By using the three-dimensional model to analyze the operating data of the metal heating surface, the structure and operating data of the power plant boiler can be intuitively displayed, so that the operating status of the metal heating surface of the power plant boiler is clear at a glance, thereby comprehensively improving the operating efficiency and safety of the power plant, and more accurately evaluating the wear and corrosion of the metal heating surface of the power plant boiler, and then performing corresponding maintenance according to the wear and corrosion of the metal heating surface of the power plant boiler, thereby avoiding serious wear and corrosion of the metal heating surface of the power plant boiler and failure, thereby solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: A method for analyzing metal operation data of a power plant boiler heating surface based on a three-dimensional model, comprising the following steps:

[0007] Step 1: using the data acquisition module to obtain the parameters of the power plant boiler, performing three-dimensional modeling according to the obtained parameters of the power plant boiler, and generating a three-dimensional model of the power plant boiler;

[0008] Step 2: Obtain the operating data of the power plant boiler, input the operating data of the power plant boiler into the three-dimensional model, and perform three-dimensional simulation of the operating state of the power plant boiler;

[0009] Step 3: Use the three-dimensional model to visualize the temperature distribution and stress distribution of the metal under the heating surface conditions;

[0010] Step 4: Use the analysis module to analyze the operating data of the metal on the heating surface according to the temperature distribution and stress distribution of the metal under the heating surface conditions;

[0011] Step 5: When there is an abnormality in the current operating status, the 3D model will flash lights and alarm the abnormal area.

[0012] Preferably, the data acquisition module specifically includes:

[0013] A data collection module is used to collect historical data during the operation of the power plant boiler and collect the parameters of the power plant boiler using point cloud data;

[0014] The data cleaning module is used to clean the collected data and select the features related to boiler efficiency after cleaning.

[0015] Preferably, the cleaning of the collected data specifically includes:

[0016] Column renaming: If there are two column names with the same name or the same meaning in the collected data columns, rename the name of one of the data columns;

[0017] Delete duplicate values: If there are duplicate data values ​​in the collected data column, delete the duplicate data values ​​and keep the first record of the duplicate data when deleting;

[0018] Missing value processing: If there are missing values ​​in the data in the collected data column, statistical methods are used to fill in the missing values ​​in the data;

[0019] Consistency processing: If there are inconsistencies in the data or naming rules in the collected data columns, use the split function to split the data values ​​in the inconsistent data columns;

[0020] Data sorting and processing: filter and sort the data in the collected data columns, and identify and process outliers in the data.

[0021] Preferably, the method of collecting the parameters of the power plant boiler using point cloud data specifically includes:

[0022] Use laser radar to emit laser pulses and measure the reflection time of the laser pulses to calculate the distance and generate point cloud data;

[0023] The point cloud data is preprocessed, including data filtering, coordinate conversion and format conversion, removing noise and outliers, and obtaining the parameters of the power plant boiler.

[0024] Preferably, generating a three-dimensional model of a power plant boiler specifically includes:

[0025] The data acquisition module collects historical data during the operation of the power plant boiler, cleans the collected data, and selects features related to boiler efficiency;

[0026] Use the collected data to conduct preliminary modeling of the power plant boiler, and after completing the preliminary modeling, verify the model;

[0027] The preliminary model of the power plant model is optimized according to the verification results, and after the optimization is completed, the three-dimensional model of the power plant boiler is obtained.

[0028] Preferably, the analysis module comprises:

[0029] The stress analysis module is used to analyze the temperature changes of the power plant boiler during operation according to the real-time operation data of the power plant boiler, and to analyze the distribution and changes of the stress field of the heated metal surface of the power plant boiler according to the temperature changes;

[0030] Temperature analysis module, used to perform thermal simulation on the three-dimensional model, obtain the heat flow coefficient based on the simulation results, and obtain the temperature distribution data based on the thermal coefficient;

[0031] The operation data analysis module is used to analyze the operation data of the heated surface metal according to the analysis results of the stress analysis module and the temperature analysis module.

[0032] Preferably, the stress analysis module specifically includes:

[0033] Analyze the temperature changes of the heated metal surface of the power plant boiler during operation based on the real-time operation data of the power plant boiler;

[0034] Establish a finite element model, and establish a stress data set of the temperature change of the pipeline during the operation of the power plant boiler based on the finite element model;

[0035] The transient changes of the metal stress field of the heating surface of the power plant boiler are analyzed according to the stress data set. Combined with the temperature changes of the metal heating surface of the power plant boiler in the operating state, the distribution and changes of the stress field of the heating metal surface of the power plant boiler are analyzed.

[0036] Preferably, the temperature analysis module specifically includes

[0037] A fixed radiation heat flux density is set, and the radiation heat flux density is used as a boundary condition to perform thermal simulation on the three-dimensional model, and the numerical simulation results of the temperature changes of each area of ​​the heating surface of the power plant boiler are obtained;

[0038] Based on the numerical simulation results, the heat flux coefficient of each area of ​​the metal high-temperature heating surface of the power plant boiler is obtained;

[0039] Sort the heat flow coefficients of each area of ​​the high-temperature heating surface metal, determine the locations where the heat flow coefficients in different areas exceed the heat flow threshold, and use them as the temperature measurement points of the heating surface metal of the power plant boiler;

[0040] The temperature distribution data of different positions of the heating surface metal of the power plant boiler are obtained according to the temperature measurement points of the heating surface metal of the power plant boiler.

[0041] Preferably, the operation data analysis module specifically includes

[0042] The temperature distribution and stress distribution of the metal on the heating surface of the power plant boiler are combined with the real-time collected power plant boiler operation data and the chemical water parameters in the boiler to evaluate the real-time corrosion rate and cumulative corrosion of the power plant boiler;

[0043] Evaluate the service life of the heating surface metal of the power plant boiler based on the stress distribution data of the power plant boiler and the current temperature of the boiler, and analyze the service life of the power plant boiler based on the service life of the heating surface metal;

[0044] The wear condition inside the power plant boiler is evaluated based on the temperature distribution and stress distribution of the metal on the heating surface of the power plant boiler.

[0045] Preferably, the analysis process of the analysis module specifically includes:

[0046] Analyze the distribution and changes of stress field on the heated metal surface of power plant boilers and the temperature distribution data at different locations on the heated metal surface of power plant boilers;

[0047] Evaluate the real-time corrosion rate and cumulative corrosion of the power plant boiler based on the temperature distribution and stress distribution of the heating surface metal of the power plant boiler, and analyze the service life of the power plant boiler based on the stress distribution data of the power plant boiler and the current boiler temperature;

[0048] According to the temperature distribution and stress distribution of the heating surface metal of the power plant boiler, the wear condition inside the power plant boiler is evaluated, and the high temperature area of ​​the heating surface metal of the power plant boiler is judged to be more prone to wear;

[0049] By analyzing the stress distribution of the heating surface metal, we can determine which areas of the heating surface metal of the power plant boiler are subject to excessive stress. Excessive stress will make cracks and wear more likely to occur.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] The present invention uses a three-dimensional model to analyze the operation data of the heating surface metal, which can intuitively display the structure and operation data of the power plant boiler, help the staff to quickly determine the key inspection areas and work standards, thereby improving work efficiency, and making the operation status of the heating surface metal of the power plant boiler clear at a glance, thereby comprehensively improving the operation efficiency and safety of the power plant. By comprehensively analyzing the temperature and stress distribution of the heating surface metal of the power plant boiler, the wear and corrosion of the heating surface metal of the power plant boiler can be more accurately evaluated, and then corresponding maintenance can be performed according to the wear and corrosion of the heating surface metal of the power plant boiler, so as to avoid serious wear and corrosion of the heating surface metal of the power plant boiler and the occurrence of failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a schematic diagram of a method for analyzing metal operation data of a heating surface of a power plant boiler based on a three-dimensional model of the present invention;

[0053] Figure 2 It is a module schematic diagram of the power plant boiler heating surface metal operation data analysis method based on the three-dimensional model of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] In order to solve the problem that the existing patent can only monitor the high-temperature heating surface of the boiler during actual use, but cannot visualize the operation of the boiler heating surface, resulting in the inability to analyze the operation of the heating surface metal according to the operation data of the heating surface, and thus cannot provide early warning of the failure of the heating surface metal, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions:

[0056] The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model includes the following steps:

[0057] Step 1: Use the data acquisition module to obtain the parameters of the power plant boiler, including boiler capacity, chemical water parameters in the boiler, steam parameters in the boiler, and boiler thermal efficiency. Perform three-dimensional modeling based on the obtained parameters of the power plant boiler to generate a three-dimensional model of the power plant boiler;

[0058] Step 2: Obtain the operating data of the power plant boiler and input the operating data into the 3D model. The operating data of the power plant boiler includes temperature, pressure, water level, etc. The operating status of the power plant boiler is simulated in 3D to achieve real-time data monitoring and visualization.

[0059] Step 3: Use the 3D model to visualize the temperature distribution and stress distribution of the metal under the heating surface conditions. Use the constructed 3D model of the power plant boiler to analyze the metal operation data of the heating surface of the power plant boiler. It can intelligently diagnose boiler failures and predict their development trends, take effective countermeasures in advance, and conduct a comprehensive analysis of the boiler's energy efficiency, providing a theoretical basis for optimizing operation and helping to improve energy efficiency.

[0060] Step 4: Analyze the operating data of the metal on the heating surface according to the temperature distribution and stress distribution of the metal under the heating surface conditions;

[0061] Step 5: When there is an abnormality in the current operating status, the 3D model will emit flashing lights and alarm abnormal areas, so that technical personnel can find abnormal heating surfaces at the first time. Each area of ​​the heating surface can be selected separately to view the detailed information of the current area, and realize visual management of the operating data of the heating surface metal of the power plant boiler, so that all kinds of information of the current power plant boiler can be clearly seen. The management personnel can view the detailed information of the current area according to the flashing lights and alarm conditions, and perform corresponding maintenance according to the abnormal situation. It can intuitively display the temperature distribution and stress distribution of the metal under the conditions of the heating surface, which is helpful to find potential problem areas, such as hot spots and stress concentration.

[0062] Data acquisition module, specifically including:

[0063] A data collection module is used to collect historical data during the operation of the power plant boiler and collect the parameters of the power plant boiler using point cloud data;

[0064] The data cleaning module is used to clean the collected data and select the features related to boiler efficiency after cleaning.

[0065] Preferably, the cleaning of the collected data specifically includes:

[0066] Column renaming: If there are two column names with the same name or the same meaning in the collected data columns, rename the name of one of the data columns;

[0067] Delete duplicate values: If there are duplicate data values ​​in the collected data column, delete the duplicate data values ​​and keep the first record of the duplicate data when deleting;

[0068] Missing value processing: If there are missing values ​​in the data columns collected, statistical methods are used to fill in the missing values ​​in the data, which improves the data quality. When processing missing values, different strategies are adopted according to the number of missing values ​​and the importance of attributes. For example, when the missing rate is low and the attribute importance is low, the mean or median can be used for filling. When the missing rate is high and the attribute importance is high, interpolation or modeling may be required for processing;

[0069] Consistency processing: If there are inconsistencies in the data or naming rules in the collected data columns, use the split function to split the data values ​​in the inconsistent data columns;

[0070] Data sorting and processing: Filter and sort the data in the collected data columns, and identify and process outliers in the data.

[0071] Point cloud data is used to collect parameters of power plant boilers, including:

[0072] Use laser radar to emit laser pulses and measure the reflection time of the laser pulses to calculate the distance and generate point cloud data;

[0073] The point cloud data is preprocessed, including data filtering, coordinate conversion and format conversion, removing noise and outliers, obtaining the parameters of the power plant boiler, and improving data quality.

[0074] By using point cloud data to obtain the parameters of power plant boilers, real-time monitoring and parameter extraction of power plant boilers can be achieved. Through lidar point cloud data, the size and shape of the boiler can be accurately measured, and then its volume and surface area and other parameters can be calculated. By analyzing the reflection intensity information of point cloud data, the thermal efficiency and corrosion of the boiler surface can also be evaluated, laying a solid foundation for the implementation of refined management of power plant boilers, timely discovering potential problems, preventing the occurrence of failures, and realizing efficient operation of power plant boilers. Combining the boiler's operating data with the three-dimensional model allows operators to intuitively understand the boiler's operating status through the model, thereby improving the operating efficiency and safety of thermal power plants.

[0075] Generate a 3D model of a power plant boiler, including:

[0076] The analysis of the metal operation data of the heating surface of the power plant boiler can be carried out through the following methods:

[0077] The data acquisition module collects historical data during the operation of the power plant boiler, cleans the collected data, and selects features related to boiler efficiency for subsequent analysis;

[0078] Use the collected data to conduct preliminary modeling of the power plant boiler. After the preliminary modeling is completed, the model is verified to ensure its accuracy and practicality, including comparison with the size and shape of the actual boiler, and optimization of the model as needed;

[0079] The preliminary model of the power plant model is optimized according to the verification results, and after the optimization is completed, a three-dimensional model of the power plant boiler is obtained;

[0080] By analyzing the impact of the power plant boiler's operating status on the change in the metal wall temperature of the heating surface, the power plant boiler's operating safety and the changing trend of safety parameters can be analyzed, the health of the power plant boiler can be dynamically visualized, and the digital management of the power plant boiler can be realized. The heating surface metal operating data of the power plant boiler can be comprehensively and accurately analyzed to ensure the safe and efficient operation of the power plant boiler.

[0081] Analysis modules, including:

[0082] The stress analysis module is used to analyze the temperature changes of the power plant boiler during operation according to the real-time operation data of the power plant boiler, and to analyze the distribution and changes of the stress field of the heated metal surface of the power plant boiler according to the temperature changes;

[0083] Temperature analysis module, used to perform thermal simulation on the three-dimensional model, obtain the heat flow coefficient based on the simulation results, and obtain the temperature distribution data based on the thermal coefficient;

[0084] The operation data analysis module is used to analyze the operation data of the heated surface metal according to the analysis results of the stress analysis module and the temperature analysis module.

[0085] The benefits of using three-dimensional models to analyze the operating data of heating surface metal are mainly reflected in improving work efficiency, facilitating experience inheritance, realizing visual management, and optimizing equipment monitoring and maintenance. Through the three-dimensional model, the structure and operating data of the power plant boiler can be intuitively displayed, helping staff to quickly determine the key inspection areas and work standards, thereby improving work efficiency, making the operating status of the heating surface metal of the power plant boiler clear at a glance, and facilitating technical personnel to promptly discover abnormal heating surfaces and view detailed information on the current area. Using three-dimensional models to analyze the operating data of the heating surface metal can not only improve work efficiency and facilitate experience inheritance, but also realize visual management, optimize equipment monitoring and maintenance, and enhance multidisciplinary communication and collaboration, thereby comprehensively improving the operating efficiency and safety of the power plant.

[0086] Stress analysis module, including:

[0087] Analyze the temperature changes of the heated metal surface of the power plant boiler during operation based on the real-time operation data of the power plant boiler;

[0088] Establish a finite element model, and establish a stress data set of the temperature change of the pipeline during the operation of the power plant boiler based on the finite element model;

[0089] The transient changes of the metal stress field of the heating surface of the power plant boiler are analyzed according to the stress data set. Combined with the temperature changes of the metal heating surface of the power plant boiler in the operating state, the distribution and changes of the stress field of the heating metal surface of the power plant boiler are analyzed.

[0090] Temperature analysis module, including

[0091] A fixed radiation heat flux density is set, and the radiation heat flux density is used as a boundary condition to perform thermal simulation on the three-dimensional model, and the numerical simulation results of the temperature changes of each area of ​​the heating surface of the power plant boiler are obtained;

[0092] Based on the numerical simulation results, the heat flux coefficient of each area of ​​the metal high-temperature heating surface of the power plant boiler is obtained;

[0093] Sort the heat flow coefficients of each area of ​​the high-temperature heating surface metal, determine the locations where the heat flow coefficients in different areas exceed the heat flow threshold, and use them as the temperature measurement points of the heating surface metal of the power plant boiler;

[0094] The temperature distribution data of different positions of the heating surface metal of the power plant boiler are obtained according to the temperature measurement points of the heating surface metal of the power plant boiler.

[0095] Run the data analysis module, including

[0096] The temperature distribution and stress distribution of the metal on the heating surface of the power plant boiler are combined with the real-time collected power plant boiler operation data and the chemical water parameters in the boiler to evaluate the real-time corrosion rate and cumulative corrosion of the power plant boiler;

[0097] Evaluate the service life of the heating surface metal of the power plant boiler based on the stress distribution data of the power plant boiler and the current temperature of the boiler, and analyze the service life of the power plant boiler based on the service life of the heating surface metal;

[0098] According to the temperature distribution and stress distribution of the heating surface metal of the power plant boiler, the wear condition inside the power plant boiler is evaluated, and the heat transfer inside the boiler can be understood. High temperature areas usually mean more heat concentration, which will lead to aging and performance degradation of the metal materials on the heating surface of the power plant boiler, thereby affecting the wear resistance of the material. Therefore, by analyzing the temperature distribution, it can be determined which areas are more susceptible to wear. Uneven stress distribution will cause fatigue and crack formation of the metal materials on the heating surface of the power plant boiler, which will accelerate the wear process. By analyzing the stress distribution of the heating surface metal of the power plant boiler, it can be determined which areas are subjected to excessive stress. These areas are more prone to cracks and wear, and the wear condition is analyzed in combination with temperature and stress.

[0099] The analysis process of the analysis module specifically includes:

[0100] Analyze the distribution and changes of stress field on the heated metal surface of power plant boilers and the temperature distribution data at different locations on the heated metal surface of power plant boilers;

[0101] Evaluate the real-time corrosion rate and cumulative corrosion of the power plant boiler based on the temperature distribution and stress distribution of the heating surface metal of the power plant boiler, and analyze the service life of the power plant boiler based on the stress distribution data of the power plant boiler and the current boiler temperature;

[0102] According to the temperature distribution and stress distribution of the heating surface metal of the power plant boiler, the wear condition inside the power plant boiler is evaluated, and the high temperature area of ​​the heating surface metal of the power plant boiler is judged to be more prone to wear;

[0103] By analyzing the stress distribution of the heating surface metal, we can determine which areas of the heating surface metal of the power plant boiler are subject to excessive stress. Excessive stress will make cracks and wear more likely to occur.

[0104] By comprehensively analyzing the temperature and stress distribution of the metal on the heating surface of a power plant boiler, it is possible to more accurately assess which areas are more susceptible to wear. For example, areas with high temperatures and high stresses are usually the areas with the most severe wear, and the materials in these areas are more easily damaged by the combined effects of thermal and mechanical stresses.

[0105] In summary, the method for analyzing the operation data of the heating surface metal of the power plant boiler based on the three-dimensional model of the present invention uses the three-dimensional model to analyze the operation data of the heating surface metal, which can intuitively display the structure and operation data of the power plant boiler, help the staff to quickly determine the key inspection areas and work standards, thereby improving work efficiency, and making the operation status of the heating surface metal of the power plant boiler clear at a glance, so that technical personnel can promptly discover abnormal heating surfaces and view detailed information of the current area. Using the three-dimensional model to analyze the operation data of the heating surface metal can not only improve work efficiency and facilitate experience inheritance, but also realize visual management, optimize equipment monitoring and maintenance, and enhance multidisciplinary communication and collaboration, thereby comprehensively improving the operation efficiency and safety of the power plant. By comprehensively analyzing the temperature and stress distribution of the heating surface metal of the power plant boiler, the wear and corrosion of the heating surface metal of the power plant boiler can be more accurately evaluated, and then corresponding maintenance can be performed according to the wear and corrosion of the heating surface metal of the power plant boiler, so as to avoid serious wear and corrosion of the heating surface metal of the power plant boiler and the occurrence of failures.

[0106] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0107] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A method for analyzing the metal operation data of a power plant boiler heating surface based on a three-dimensional model, characterized in that: The following steps are involved: Step 1: using the data acquisition module to obtain the parameters of the power plant boiler, performing three-dimensional modeling according to the obtained parameters of the power plant boiler, and generating a three-dimensional model of the power plant boiler; Step 2: Obtain the operating data of the power plant boiler, input the operating data of the power plant boiler into the three-dimensional model, and perform three-dimensional simulation of the operating state of the power plant boiler; Step 3: Use the three-dimensional model to visualize the temperature distribution and stress distribution of the metal under the heating surface conditions; Step 4: Use the analysis module to analyze the operating data of the metal on the heating surface according to the temperature distribution and stress distribution of the metal under the heating surface conditions; Step 5: When there is an abnormality in the current operating status, the 3D model will flash lights and alarm the abnormal area.

2. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 1 is characterized in that: The data acquisition module specifically includes: A data collection module is used to collect historical data during the operation of the power plant boiler and collect the parameters of the power plant boiler using point cloud data; The data cleaning module is used to clean the collected data and select the features related to boiler efficiency after cleaning.

3. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 2 is characterized in that: The cleaning of the collected data specifically includes: If there are two column names with the same name or the same meaning in the collected data columns, rename the name of one of the data columns; If there are duplicate data values ​​in the collected data column, delete the duplicate data values, and keep the first record of the duplicate data when deleting; If there are missing values ​​in the data in the collected data column, use statistical methods to fill in the missing values ​​in the data; If there are inconsistencies in the data or naming rules in the collected data columns, use the split function to split the data values ​​in the inconsistent data columns; Filter and sort the data in the collected data columns, and identify and process outliers in the data.

4. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 2 is characterized in that: The point cloud data is used to collect the parameters of the power plant boiler, specifically including: Use laser radar to emit laser pulses and measure the reflection time of the laser pulses to calculate the distance and generate point cloud data; The point cloud data is preprocessed, including data filtering, coordinate conversion and format conversion, removing noise and outliers, and obtaining the parameters of the power plant boiler.

5. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 1 is characterized in that: The generating of the three-dimensional model of the power plant boiler specifically includes: The data acquisition module collects historical data during the operation of the power plant boiler, cleans the collected data, and selects features related to boiler efficiency; Use the collected data to conduct preliminary modeling of the power plant boiler, and after completing the preliminary modeling, verify the model; The preliminary model of the power plant model is optimized according to the verification results, and after the optimization is completed, the three-dimensional model of the power plant boiler is obtained.

6. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 1 is characterized by: The analysis module comprises: The stress analysis module is used to analyze the temperature changes of the power plant boiler during operation according to the real-time operation data of the power plant boiler, and to analyze the distribution and changes of the stress field of the heated metal surface of the power plant boiler according to the temperature changes; Temperature analysis module, used to perform thermal simulation on the three-dimensional model, obtain the heat flow coefficient based on the simulation results, and obtain the temperature distribution data based on the thermal coefficient; The operation data analysis module is used to analyze the operation data of the heated surface metal according to the analysis results of the stress analysis module and the temperature analysis module.

7. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 6 is characterized by: The stress analysis module specifically includes: Analyze the temperature changes of the heated metal surface of the power plant boiler during operation based on the real-time operation data of the power plant boiler; Establish a finite element model, and establish a stress data set of the temperature change of the pipeline during the operation of the power plant boiler based on the finite element model; The transient changes of the metal stress field of the heating surface of the power plant boiler are analyzed according to the stress data set. Combined with the temperature changes of the metal heating surface of the power plant boiler in the operating state, the distribution and changes of the stress field of the heating metal surface of the power plant boiler are analyzed.

8. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 6 is characterized by: The temperature analysis module specifically includes A fixed radiation heat flux density is set, and the radiation heat flux density is used as a boundary condition to perform thermal simulation on the three-dimensional model, and the numerical simulation results of the temperature changes of each area of ​​the heating surface metal of the power plant boiler are obtained; Based on the numerical simulation results, the heat flux coefficient of each area of ​​the metal high-temperature heating surface of the power plant boiler is obtained; Sort the heat flow coefficients of each area of ​​the high-temperature heating surface metal, determine the locations where the heat flow coefficients in different areas exceed the heat flow threshold, and use them as the temperature measurement points of the heating surface metal of the power plant boiler; The temperature distribution data of different positions of the heating surface metal of the power plant boiler are obtained according to the temperature measurement points of the heating surface metal of the power plant boiler.

9. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 6 is characterized by: The operation data analysis module specifically includes The temperature distribution and stress distribution of the metal on the heating surface of the power plant boiler are combined with the real-time collected power plant boiler operation data and the chemical water parameters in the boiler to evaluate the real-time corrosion rate and cumulative corrosion of the power plant boiler; Evaluate the service life of the heating surface metal of the power plant boiler based on the stress distribution data of the power plant boiler and the current temperature of the boiler, and analyze the service life of the power plant boiler based on the service life of the heating surface metal; The wear condition inside the power plant boiler is evaluated based on the temperature distribution and stress distribution of the metal on the heating surface of the power plant boiler.

10. The method for analyzing the metal operation data of the heating surface of a power plant boiler based on a three-dimensional model according to claim 6, characterized in that: The analysis process of the analysis module specifically includes: Analyze the distribution and changes of stress field on the heated metal surface of power plant boilers and the temperature distribution data at different locations on the heated metal surface of power plant boilers; Evaluate the real-time corrosion rate and cumulative corrosion of the power plant boiler based on the temperature distribution and stress distribution of the heating surface metal of the power plant boiler, and analyze the service life of the power plant boiler based on the stress distribution data of the power plant boiler and the current boiler temperature; According to the temperature distribution and stress distribution of the heating surface metal of the power plant boiler, the wear condition inside the power plant boiler is evaluated, and the high temperature area of ​​the heating surface metal of the power plant boiler is judged to be more prone to wear; By analyzing the stress distribution of the heating surface metal, we can determine which areas of the heating surface metal of the power plant boiler are subject to excessive stress. Excessive stress will make cracks and wear more likely to occur.

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