A method, device, electronic device and storage medium for monitoring the temperature of a boiler

Abstract

This application relates to the technical field of boiler temperature monitoring, and particularly to a boiler temperature monitoring method, device, electronic device, and storage medium. The method includes: by monitoring the flame temperature of each flame burner and accordingly judging its combustion state (complete combustion, incomplete combustion, or non-combustion), the flame burners with lower combustion efficiency can be accurately identified. By reducing the cases of incomplete combustion and non-combustion, fuel consumption can be reduced, thereby reducing the operating cost. Moreover, the occurrence of incomplete combustion is reduced, and the emissions of pollutants caused by incomplete combustion are reduced, which is helpful for environmental protection. At the same time, real-time monitoring and overall monitoring of the boiler temperature are realized, facilitating the timely discovery and handling of existing operation problems.

Description

Technical Field

[0001] The present application relates to the technical field of boiler temperature monitoring, and in particular, to a boiler temperature monitoring method, device, electronic device, and storage medium. Background Art

[0002] In thermal power generation and industrial production, as an important heat energy conversion device, the operating efficiency and safety of a boiler directly affect the stability and economic benefits of the entire production process. The combustion efficiency of the boiler mainly depends on the combustion state of the flame burner, and the combustion state of the flame burner is affected by various factors. Therefore, accurately monitoring and evaluating the combustion state of each flame burner in the boiler is of great significance for improving the operating efficiency and safety of the boiler.

[0003] Traditional methods for monitoring the combustion state of boilers mainly rely on manual inspections and regular detections. Due to the complexity of the boiler combustion process, there may be differences in the combustion states between different flame burners. It is impossible to monitor the overall temperature of the boiler in real time through manual inspections, so it may not be possible to detect problems in the boiler in a timely manner. Therefore, how to monitor the overall temperature of the boiler in real time has become an urgent problem to be solved. Summary of the Invention

[0004] In order to monitor the overall temperature of the boiler in real time, the present application provides a boiler temperature monitoring method, device, electronic device, and storage medium.

[0005] In a first aspect, the present application provides a boiler temperature monitoring method, adopting the following technical solution:

[0006] A boiler temperature monitoring method includes:

[0007] Determine the flame temperature corresponding to each flame burner in the boiler;

[0008] Determine the combustion state of the flame burner corresponding to each flame temperature, where the combustion state is complete combustion, incomplete combustion, or non-combustion;

[0009] When there is a flame burner with a combustion state of incomplete combustion or non-combustion, determine the flame burner with a combustion state of incomplete combustion or non-combustion as the target burner;

[0010] Obtain the combustion data set of the target burner, where the combustion data set includes at least two items of combustion data, and the combustion data is the combustion parameter corresponding to each combustion moment, and the combustion data is the primary air volume, secondary air volume, pulverized coal concentration, or oxygen content;

[0011] Based on the combustion data set of the target burner and the flame temperature corresponding to each flame burner, determine the operating state of the boiler.

[0012] By adopting the above technical solution, by monitoring the flame temperature of each flame burner and accordingly judging its combustion state (complete combustion, incomplete combustion or non-combustion), the flame burners with relatively low combustion efficiency can be accurately identified. By reducing incomplete combustion and non-combustion, fuel consumption can be reduced, thereby reducing the operating cost. Moreover, the occurrence of incomplete combustion is reduced, and the emissions of pollutants caused by incomplete combustion are reduced, which is helpful for environmental protection. At the same time, real-time monitoring and overall monitoring of the boiler temperature are realized, which is convenient for timely discovering and handling existing operation problems.

[0013] In a possible implementation manner, the determination of the flame temperature corresponding to each flame burner, and the determination process of the flame temperature corresponding to each flame burner includes:

[0014] Obtain a first wavelength and a second wavelength of the monochromatic radiation intensity corresponding to the combustion of the flame burner;

[0015] Based on the first wavelength, the second wavelength and the colorimetric temperature measurement method, determine the flame temperature of the flame burner.

[0016] By adopting the above technical solution, the colorimetric temperature measurement method is a method for measuring temperature based on the ratio of the radiation intensities at two different wavelengths in the radiation spectrum of an object. Since it depends on the spectral characteristics of the object's own radiation, high-precision measurement can be carried out without contacting the flame. By obtaining the first wavelength and the second wavelength corresponding to the flame burner in real time and performing calculations based on the colorimetric temperature measurement method, real-time dynamic monitoring of the flame temperature can be realized. At the same time, when using the colorimetric temperature measurement method to measure the flame temperature, there is no need to directly contact the flame, avoiding the potential safety risks and interference with the flame brought by traditional temperature measurement methods. And the colorimetric temperature measurement method is applicable to various types of flame burners. Whether it is solid fuel, liquid fuel or gas fuel, as long as the required first wavelength and second wavelength are included in its radiation spectrum, this method can be used for temperature measurement. This makes this solution have strong adaptability and flexibility.

[0017] In a possible implementation manner, the determining the flame temperature of the flame burner based on the first wavelength, the second wavelength and the colorimetric temperature measurement method includes:

[0018] Obtain a first radiation intensity corresponding to the first wavelength and a second radiation intensity corresponding to the second wavelength;

[0019] Substitute the first wavelength, the second wavelength, the first radiation intensity and the second radiation intensity into the following formula to obtain the flame temperature of the flame burner;

[0020] Wherein, the formula is

[0021] Among them, T is the flame temperature of the flame burner, and T 0 is the reference temperature, and c 2 is the second radiation constant, and λ 1 is the first wavelength, and λ 2 is the second wavelength, and Eλ 1 is the first radiation intensity, and Eλ 2 is the second radiation intensity.

[0022] By adopting the above technical solution, the colorimetric temperature measurement technology is a method for determining the temperature of an object based on the ratio of the radiation intensities of the object at two different wavelengths. Using the core formula corresponding to the colorimetric temperature measurement method can not only describe the above relationship, but also eliminate the influence of the object emissivity on the measurement result.

[0023] In a possible implementation manner, determining the operating state of the boiler based on the combustion data set of the target burner and the flame temperatures corresponding to the respective flame burners includes:

[0024] Obtain the structural model of the boiler;

[0025] Based on the structural model, the combustion data set of the target burner, and the flame temperatures corresponding to the respective flame burners, determine the operating state of the boiler.

[0026] By adopting the above technical solution, combining the combustion data set of the target burner and the flame temperatures corresponding to the respective flame burners helps to comprehensively evaluate the overall operating state of the boiler. By comprehensively analyzing the combustion conditions of different flame burners, it is possible to more accurately judge whether there are local or overall problems in the boiler, and at the same time more intuitively display the overall temperature situation of the boiler.

[0027] In another possible implementation manner, after determining the operating state of the boiler based on the combustion data set of the target burner, the method further includes:

[0028] Obtain the historical operating data corresponding to the target burner, where the historical operating data includes a historical combustion data set and a historical flame temperature corresponding to the historical combustion data set. The historical combustion data set includes historical data of at least two historical combustion parameters corresponding to respective historical moments, and the historical data is historical primary air volume, historical secondary air volume, historical pulverized coal concentration, or historical oxygen content;

[0029] Determine the recommended operating data based on the historical operating data corresponding to the target burner and the combustion data set corresponding to the target burner, where the recommended operating data includes at least one of recommended primary air volume, recommended secondary air volume, recommended pulverized coal concentration, and recommended oxygen content;

[0030] Generate and display recommended information based on the operating status and the recommended operating data.

[0031] By adopting the above technical solution, the recommended operating data is carried out based on the historical combustion data set and the historical flame temperature of the burner, realizing the monitoring and recommendation of reasonable operating parameters, which can reduce the operating failures and safety accidents of the boiler caused by overheating, overpressure or other reasons. At the same time, the timely recommended information can remind the operator to pay attention to potential risks and take corresponding measures.

[0032] In a possible implementation manner, the determining the recommended operating data based on the historical operating data corresponding to the target burner and the combustion data corresponding to the target burner includes:

[0033] Based on the historical operating data corresponding to the target burner, establish a first correspondence between the historical flame temperature and the historical primary air volume, a second correspondence between the historical flame temperature and the historical secondary air volume, a third correspondence between the historical flame temperature and the historical pulverized coal concentration, and a fourth correspondence between the historical flame temperature and the historical oxygen content;

[0034] Based on the first correspondence, the second correspondence, the third correspondence, and the fourth correspondence, determine the correlation degree between every two historical data in the historical data set;

[0035] Determine the target correlation degree by taking the correlation degree higher than the preset correlation degree;

[0036] Determine the influence degree between the two historical data corresponding to the target correlation degree;

[0037] Determine the recommended operating data based on the influence degree between the two historical data corresponding to the target correlation degree and the combustion data corresponding to the target burner.

[0038] By adopting the above technical solution, based on the historical operation data of the burner, the corresponding relationships between each historical data and the historical flame temperature are established, and based on each corresponding relationship, the correlation degree between every two historical data is determined to obtain the correlation degree between every two historical data, and the influence degree between the historical data with a high correlation degree is determined, so that operation data recommendation can be made based on this influence degree. When there is a high correlation between two parameters, their interaction and dependence can be more accurately understood and predicted. At this time, the recommended operation data will be closer to the actual operation requirements, thereby improving the accuracy and reliability of decision-making. For example, the secondary air volume is used to provide oxygen. When the secondary air volume increases, the oxygen content will also increase to a certain extent. Therefore, the amount of influence of the increase in the secondary air volume on the oxygen content is the influence degree, thereby improving the accuracy of the recommendation result and better guiding the actual operation.

[0039] In a possible implementation manner, determining the influence degree between the two historical data corresponding to the target correlation degree includes:

[0040] Determine that the two historical data corresponding to the target correlation degree are the first historical data and the second historical data respectively;

[0041] Based on the corresponding relationship between the first historical data and the historical flame temperature and the corresponding relationship between the second historical data and the historical flame temperature, establish an influence curve between the first historical data and the second historical data;

[0042] Based on the influence curve, determine the influence degree between the two historical data corresponding to the target correlation degree.

[0043] By adopting the above technical solution, by deeply analyzing the influence of the first historical data and the second historical data on the historical flame temperature, their interaction relationship can be more accurately understood. It is beneficial to provide a more reliable basis to help decision-makers make more reasonable decisions. By determining the influence degree between two historical data, the key parameters in the combustion process, such as the secondary air volume and the oxygen content, can be more precisely controlled, the system parameters can be predicted and adjusted to cope with possible fluctuations and changes, thereby enhancing the stability of the system. Based on the influence curve, it can be predicted how the historical flame temperature will respond when the first historical data or the second historical data changes, which helps to take measures in advance to avoid potential problems and improve the accuracy of prediction.

[0044] In a second aspect, the present application provides a boiler temperature monitoring device, adopting the following technical solution:

[0045] A boiler temperature monitoring device includes:

[0046] A temperature determination module, configured to determine the flame temperature corresponding to each flame burner in the boiler;

[0047] A combustion state determination module, configured to determine the combustion state of the flame burner corresponding to each flame temperature, where the combustion state is complete combustion, incomplete combustion, or non-combustion;

[0048] A target burner determination module, configured to determine the flame burner corresponding to incomplete combustion or non-combustion as the target burner when there is a flame burner with a combustion state of incomplete combustion or non-combustion;

[0049] An acquisition module, configured to acquire the combustion data set of the target burner, where the combustion data set includes at least two items of combustion data, and the combustion data is the combustion parameter corresponding to each combustion moment, and the combustion data is the primary air volume, secondary air volume, pulverized coal concentration, or oxygen content;

[0050] An operating state determination module, configured to determine the operating state of the boiler based on the combustion data set of the target burner and the flame temperature corresponding to each flame burner.

[0051] In a third aspect, the present application provides an electronic device, adopting the following technical solution:

[0052] An electronic device, which includes:

[0053] At least one processor;

[0054] A memory;

[0055] At least one application program, where at least one application program is stored in the memory and is configured to be executed by at least one processor, and the at least one application program is configured to: execute the boiler temperature monitoring method according to any one of the first aspects above.

[0056] In a fourth aspect, the present application provides a computer-readable storage medium, adopting the following technical solution:

[0057] A computer-readable storage medium, including: a computer program stored therein that can be loaded and executed by a processor to execute the boiler temperature monitoring method according to any one of the first aspects above.

[0058] In summary, the present application has the following beneficial technical effects: By monitoring the flame temperature of each flame burner and accordingly judging its combustion state (complete combustion, incomplete combustion or non-combustion), it is possible to accurately identify the flame burners with low combustion efficiency. By reducing the cases of incomplete combustion and non-combustion, fuel consumption can be reduced, thereby reducing the operating cost. Moreover, the occurrence of incomplete combustion is reduced, and the emissions of pollutants caused by incomplete combustion are reduced, which is helpful for environmental protection. At the same time, real-time monitoring and overall monitoring of the boiler temperature are realized, which is convenient for timely discovering and handling existing operation problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 is a schematic flowchart of a method for monitoring the temperature of a boiler provided by an embodiment of the present application;

[0060] Figure 2 is a schematic block diagram of a device for monitoring the temperature of a boiler provided by an embodiment of the present application;

[0061] Figure 3 is a schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0062] The following further describes the present application in detail Figure 1 - attached Figure 3 with reference to the accompanying drawings.

[0063] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0064] To facilitate the understanding of the technical solutions proposed in the present application, several elements introduced in the description of the present application will be introduced here first. It should be understood that the following introduction only facilitates the understanding of these elements in order to understand the content of the embodiments of the present application, and does not necessarily cover all possible situations.

[0065] Boiler: A boiler is an energy conversion device that uses the heat energy released by fuel combustion or other heat energy to heat water or other working media to produce steam, hot water, or meet other heat energy requirements.

[0066] Flame Burner: A flame burner is a device used to mix fuel and oxygen and ignite them to produce a flame. It mainly consists of a fuel system, an oxygen system, nozzles, an ignition system, and a control system, etc. The working principle of a flame burner is to deliver fuel and oxygen to the burner separately in a specific ratio. Through two main nozzles - the fuel nozzle and the oxygen nozzle, the fuel and oxygen are sprayed into the center of the nozzle, causing them to mix together to form a combustible mixture. Then, an igniter is used to ignite the mixed gas. The fuel molecules inside the mixture are heated, undergo dissociation, and start to combine with oxygen molecules, generating heat, which in turn triggers a combustion reaction.

[0067] Complete Combustion: Complete combustion refers to the process in which fuel is fully mixed with oxygen and completely reacts during the combustion process, generating stable products such as carbon dioxide (CO 2 ) and water (H 2 O).

[0068] Incomplete Combustion: Incomplete combustion refers to the process in which fuel is not fully mixed with oxygen or the combustion conditions are poor during the combustion process, resulting in some fuel not being completely reacted and generating unstable products such as carbon monoxide (CO), hydrocarbons (HC), and carbon black (soot).

[0069] Unburned: Unburned refers to the phenomenon in which fuel fails to react with oxygen during the combustion process, remaining in its original state or only undergoing partial physical changes (such as melting, gasification, etc.).

[0070] In thermal power generation and industrial production, as an important heat energy conversion device, the operating efficiency and safety of a boiler directly affect the stability and economic benefits of the entire production process. The combustion efficiency of a boiler mainly depends on the combustion state of the flame burner, and the combustion state of the flame burner is affected by various factors. Therefore, accurately monitoring and evaluating the combustion state of each flame burner in the boiler is of great significance for improving the operating efficiency and safety of the boiler. Traditional methods for monitoring the combustion state of boilers mainly rely on manual inspections and regular detections. Due to the complex combustion process of boilers and the possible differences in the combustion states between different flame burners, it is impossible to monitor the overall temperature of the boiler in real time through manual inspections, and thus problems with the boiler may not be detected in a timely manner. Therefore, how to monitor the overall temperature of the boiler in real time has become an urgent problem to be solved.

[0071] In view of this, an embodiment of the present application provides a boiler temperature monitoring method. By monitoring the flame temperature of each flame burner and accordingly determining its combustion state (complete combustion, incomplete combustion or non-combustion), it is possible to accurately identify the flame burner with lower combustion efficiency. By reducing the cases of incomplete combustion and non-combustion, fuel consumption can be reduced, thereby reducing the operating cost. Moreover, the occurrence of incomplete combustion is reduced, and the emissions of pollutants caused by incomplete combustion are reduced, which is helpful for environmental protection. At the same time, real-time monitoring and overall monitoring of the boiler temperature are achieved, facilitating the timely discovery and handling of existing operation problems.

[0072] See Figure 1 , an embodiment of the present application provides a boiler temperature monitoring method, which is executed by an electronic device. The method includes:

[0073] Step S101, determine the flame temperature corresponding to each flame burner in the boiler.

[0074] Since the temperature of the boiler furnace is directly related to the combustion safety and efficiency of the boiler, insufficient combustion temperature may result in the generation of pollutants. There are multiple flame burners evenly distributed inside the boiler. If the real-time combustion state cannot be accurately obtained and parameters such as fuel and air supply volume cannot be effectively controlled, it may lead to uneven temperature fields in the boiler furnace, skewing of the flame center, etc., thus greatly reducing the thermal efficiency of the boiler and generating a large amount of pollutants and noise. Therefore, it is necessary to determine the flame temperature corresponding to each flame burner in the boiler. Specifically, the flame temperature corresponding to each flame burner in the boiler can be determined by using the method of measuring temperature with a thermocouple, or the flame temperature corresponding to each flame burner in the boiler can be determined by using the acoustic wave method.

[0075] More specifically, before monitoring the boiler temperature, a device corresponding to the thermocouple temperature measurement method is installed in the boiler furnace. The method of measuring temperature with a thermocouple may include: receiving the electrical signals transmitted by the thermocouples corresponding to each flame burner, and performing processing such as amplification and linearization on the electrical signals to obtain the flame temperature corresponding to each flame burner in the boiler.

[0076] The acoustic wave method may include: before monitoring the boiler temperature, a device corresponding to the acoustic wave method is installed in the boiler furnace. A broadband acoustic information is emitted from one side of the boiler furnace with compressed air as the power, and a receiving sensor located opposite the boiler furnace detects the acoustic information. The electronic device measures the time elapsed from the sound generation to the detection as the "flight time" of the acoustic wave. According to the known distance between the sound source and the receiver and the "flight time" of the acoustic wave, and using the relationship between the propagation speed of the acoustic wave in the gas mixture and the absolute temperature, the average temperature between the two points is calculated, and according to the positions of each flame burner, the flame temperature corresponding to each flame burner is determined.

[0077] Step S102: Determine the combustion state of each flame burner corresponding to the flame temperature.

[0078] Wherein, the combustion state is complete combustion, incomplete combustion or non - combustion.

[0079] Since different fuels release different amounts of heat during combustion, that is, different fuels produce different temperatures during complete combustion. Therefore, the combustion temperature range corresponding to the complete combustion of pulverized coal can be obtained, and it can be judged whether the flame temperature corresponding to each flame burner is within the combustion temperature range corresponding to complete combustion. When the flame temperature corresponding to the flame burner is within the combustion temperature range corresponding to complete combustion, determine that the combustion state corresponding to the flame burner is complete combustion; when the flame temperature corresponding to the flame burner is not within the combustion temperature range corresponding to complete combustion, determine that the combustion state corresponding to the flame burner is incomplete combustion or non - combustion.

[0080] When there is a flame burner with a combustion state of non - combustion and the remaining flame burners are in a combustion state, the temperature inside the boiler may be relatively high, so that the measured temperature of the non - combustion flame burner is not 0. Specifically, the number of flame burners in the boiler can be obtained, and the preset temperature threshold corresponding to this number can be obtained, and it can be judged whether the flame temperature corresponding to the flame burner is higher than the preset temperature threshold. If the flame temperature corresponding to the flame burner is higher than the preset temperature threshold, determine that the combustion state corresponding to the flame burner is incomplete combustion; if the flame temperature corresponding to the flame burner is not higher than the preset temperature threshold, determine that the combustion state corresponding to the flame burner is non - combustion. Among them, in the case where the fuel is pulverized coal, different numbers correspond to different preset temperature thresholds. The temperature corresponding to the closed flame burner can be measured when only one flame burner is closed and the remaining flame burners are in complete combustion, as the preset temperature threshold corresponding to this number. Exemplarily, in the case where the fuel is pulverized coal, when the number of flame burners in the boiler is 5, close one of the flame burners, and measure the temperature of the closed flame burner when the remaining four flame burners are in complete combustion, as the preset temperature threshold for the number 5.

[0081] Step S103: When there is a flame burner with a combustion state of incomplete combustion or non - combustion, determine the flame burner with a combustion state of incomplete combustion or non - combustion as the target burner.

[0082] Specifically, when there is a burner with an incomplete combustion or unburned combustion state among the flame burners, determine the burner with an incomplete combustion or unburned combustion state as the target burner, and determine the burners with a complete combustion state as the remaining burners. When there is no flame burner, determine each flame burner as the target flame burner.

[0083] Step S104: Obtain the combustion data set of the target burner.

[0084] Among them, the combustion data set includes at least two items of combustion data. The combustion data is the combustion parameter corresponding to each combustion moment, and the combustion data is the primary air volume, secondary air volume, pulverized coal concentration or oxygen content.

[0085] Specifically, primary air: refers to the air sent from the lower part of the grate during the combustion of a stoker-fired boiler; during the combustion of pulverized coal, the air sent into the furnace together with the pulverized coal; during the combustion of oil or gas fuel, the air sent into the furnace from the root of the fire. The main function of the primary air is to ensure that the material can be in a good fluidized state in the dense phase zone and provide sufficient oxygen for combustion.

[0086] Secondary air: The air used to provide oxygen for pulverized coal in a thermal power plant. The main purpose of the secondary air is to increase the oxygen content required for combustion in the dilute phase zone and provide the power for the re-flow of gas-solid.

[0087] Step S105: Determine the operating state of the boiler based on the combustion data set of the target burner and the flame temperature corresponding to each flame burner.

[0088] Among them, the operating state of the boiler is used to characterize the operating state of each burner in the boiler.

[0089] Specifically, input the obtained combustion data set of the target burner into the trained model to obtain the predicted combustion temperature as the output, and output the predicted combustion temperature corresponding to the target burner, the flame temperature, and the flame temperature corresponding to the remaining burners, so as to obtain the operating state of the boiler. Among them, a large number of combustion parameter samples and predicted combustion temperature samples are used to train the model to obtain the trained model.

[0090] In a possible implementation manner of the embodiment of the present application, in the above step S101, to determine the flame temperature corresponding to each flame burner, the determination process of the flame temperature corresponding to each flame burner may specifically include: obtaining the first wavelength and the second wavelength of the monochromatic radiation intensity corresponding to the combustion of the flame burner; determining the flame temperature of the flame burner based on the first wavelength, the second wavelength, and the colorimetric temperature measurement method.

[0091] Among them, the basic idea of colorimetric temperature measurement is that when the two central wavelengths are the first wavelength and the second wavelength respectively, the monochromatic radiant energy emitted from the same point of the object to be measured is measured simultaneously. According to the ratio of the two, the temperature of this point can be determined.

[0092] Since the wavelength ranges corresponding to different types of flame burners may be different, therefore, the main wavelength range corresponding to each flame burner in the boiler can be obtained, and two central wavelengths of the flame combustion zone and the corresponding monochromatic radiant intensity are selected as the first wavelength and the second wavelength, and the radiant intensity of each flame burner at the first wavelength and the second wavelength is obtained. The radiant intensity corresponding to the first wavelength and the radiant intensity corresponding to the second wavelength are used, and the flame temperature is calculated based on the colorimetric temperature measurement method.

[0093] In a possible implementation manner of the embodiment of the present application, in the above step S101, based on the first wavelength, the second wavelength, and the colorimetric temperature measurement method, the flame temperature of the flame burner is determined, which may specifically include: obtaining the first radiant intensity corresponding to the first wavelength and the second radiant intensity corresponding to the second wavelength; substituting the first wavelength, the second wavelength, the first radiant intensity, and the second radiant intensity into the following formula to obtain the flame temperature of the flame burner; where the formula is where T is the flame temperature of the flame burner, T 0 is the reference temperature, c 2 is the second radiation constant, λ 1 is the first wavelength, λ 2 is the second wavelength, Eλ 1 is the first radiant intensity, Eλ 2 is the second radiant intensity.

[0094] Among them, the spectral radiant intensity (monochromatic radiant intensity) E_l refers to the energy emitted by the unit surface area of the object into the hemispherical space within the unit wavelength range (including a certain given wavelength) per unit time. Its unit is usually W / m 3 .

[0095] The colorimetric temperature measurement technology is a method for determining the temperature of an object based on the ratio of the radiant intensities of the object at two different wavelengths. Its core formula is usually used to describe this relationship and eliminate the influence of the object emissivity on the measurement result. Therefore, the flame temperature of the flame burner can be obtained through the core formula of the colorimetric temperature measurement method. Specifically, the first radiant intensity corresponding to the first wavelength and the second radiant intensity corresponding to the second wavelength are obtained, and the first wavelength, the second wavelength, the first radiant intensity, and the second radiant intensity are substituted into the core formula of the colorimetric temperature measurement technology, that is, the following formula, to obtain the flame temperature of the flame burner.

[0096] More specifically, the formula is where T is the flame temperature of the flame burner, T 0 is the reference temperature (usually the ambient temperature, unit: Kelvin, K). However, in the practical application of colorimetric temperature measurement, this term can usually be ignored because it only introduces a small constant offset, c 2 is the second radiation constant, also known as the Wien displacement law constant, λ 1 is the first wavelength, λ 2 is the second wavelength, Eλ 1 is the first radiation intensity, Eλ 2 is the second radiation intensity.

[0097] In a possible implementation manner of the embodiment of the present application, in the above step S105, based on the combustion data set of the target burner and the flame temperature corresponding to each flame burner, the operating state of the boiler is determined, which may specifically include: obtaining the structural model of the boiler; based on the structural model, the combustion data set of the target burner, and the flame temperature corresponding to each flame burner, determining the operating state of the boiler.

[0098] Specifically, obtain a three-dimensional structural model of the boiler that has been pre-constructed and includes the main components of the boiler (such as the furnace, burner, heating surface, flue, etc.) and their connection relationships, that is, the structural model of the boiler. Display the combustion data set of the obtained target burner and the flame temperature corresponding to each flame burner in the structural model of the boiler to obtain the operating state of the boiler.

[0099] Further, the combustion data set and the flame temperature corresponding to each flame burner can be filled into the corresponding positions of the structural model to display the operating state of the boiler.

[0100] In another possible implementation manner of the embodiment of the present application, after the above step S105, the method further includes: obtaining the historical operating data corresponding to the target burner; based on the historical operating data corresponding to the target burner and the combustion data set corresponding to the target burner, determining the recommended operating data; generating and displaying the recommended information based on the operating state and the recommended operating data.

[0101] Among them, the historical operating data includes the historical combustion data set and the historical flame temperature corresponding to the historical combustion data set. The historical combustion data set includes at least two historical data of the historical combustion parameters corresponding to each historical moment, and the historical data is the historical primary air volume, historical secondary air volume, historical pulverized coal concentration, or historical oxygen content.

[0102] Among them, the recommended operating data includes at least one of the recommended primary air volume, recommended secondary air volume, recommended pulverized coal concentration, and recommended oxygen content.

[0103] Since the combustion state of the target burner is incomplete combustion or non-combustion, in order to prevent uneven temperature fields in the boiler furnace and skewing of the flame center, etc., the target burner can be returned to a fully combusted state by increasing the air volume or coal volume, etc. Specifically, historical data is the accumulation of past experience, which contains the operating performance and results of the boiler under different conditions. Therefore, the historical operating data corresponding to the target burner can be collected for analysis. These historical operating data include historical combustion data sets (such as historical primary air volume, historical secondary air volume, historical pulverized coal concentration, historical oxygen content, etc.) and the historical flame temperatures corresponding to the historical combustion data sets. Further, preprocess the historical operating data. Specifically, perform operations such as data cleaning (removing outliers, filling in missing values, etc.), data standardization or normalization (for ease of subsequent analysis), and data integration (combining different data sets into a unified structure) on the historical operating data to complete the preprocessing of the historical operating data.

[0104] Further, based on the historical operating data, analyze the relationship between combustion parameters (such as primary air volume, secondary air volume, pulverized coal concentration, oxygen content) and flame temperature. Specifically, establish a deep learning model (such as a recurrent neural network, a convolutional neural network, etc.), use the historical combustion data set as the input and the historical flame temperature as the output, and train the model to predict the flame temperature under given combustion parameters. Use the current combustion data set of the target burner (such as real-time primary air volume, secondary air volume, pulverized coal concentration, oxygen content, etc.) as the input, and through the trained prediction model, obtain the recommended flame temperature.

[0105] Further, through a reverse inference method, with the predicted flame temperature as the target, adjust the combustion parameters (primary air volume, secondary air volume, pulverized coal concentration, oxygen content, etc.) so that the flame temperature predicted by the model approaches or reaches the target value, thereby obtaining recommended operating data (recommended primary air volume, recommended secondary air volume, recommended pulverized coal concentration, recommended oxygen content, etc.).

[0106] Even further, based on the operating state of the boiler and the recommended operating data, generate recommended information including the combustion data set of the target burner, the respective flame temperatures of each flame burner, and the recommended operating data.

[0107] Even further, display the recommended information on the user interface for the operator to view and take corresponding measures. The user interface can be a console, a touch screen, a mobile application, etc., and the specific form is determined according to the actual application scenario and requirements, and this application embodiment does not limit this.

[0108] In a possible implementation manner of the embodiment of the present application, in the above embodiment, based on the historical operation data corresponding to the target burner and the combustion data corresponding to the target burner, determining the recommended operation data includes: based on the historical operation data corresponding to the target burner, establishing a first correspondence between the historical flame temperature and the historical primary air volume, a second correspondence between the historical flame temperature and the historical secondary air volume, a third correspondence between the historical flame temperature and the historical pulverized coal concentration, and a fourth correspondence between the historical flame temperature and the historical oxygen content; based on the first correspondence, the second correspondence, the third correspondence, and the fourth correspondence, determining the correlation degree between every two historical data in the historical data set; determining the correlation degree higher than the preset correlation degree as the target correlation degree; determining the influence degree between the two historical data corresponding to the target correlation degree; and based on the influence degree between the two historical data corresponding to the target correlation degree and the combustion data corresponding to the target burner, determining the recommended operation data.

[0109] Based on each historical combustion parameter and the corresponding historical flame temperature at each historical moment, establish the relationship between each historical combustion parameter and the historical flame temperature changing with the historical moment, so as to obtain the first correspondence, the second correspondence, the third correspondence, and the fourth correspondence. More specifically, the process of determining the relationship between each historical combustion parameter and the historical flame temperature changing with the historical moment can be: determining the historical combustion parameter to be confirmed for the change relationship as the target historical combustion parameter, selecting a historical sub-data set from the historical operation data where the historical combustion parameters except the target historical combustion parameter are all a certain fixed value, generating a change curve based on the data of the target historical combustion parameter and the corresponding historical flame temperature changing with the corresponding historical moment in the historical sub-data set, and determining the relationship between the target historical combustion parameter and the historical flame temperature changing with the historical moment by the fitting method.

[0110] After obtaining the first correspondence, the second correspondence, the third correspondence, and the fourth correspondence, the correlation degree between every two historical data can be determined. Specifically, the dynamic time warping method can be used to determine the correlation degree between every two historical data. More specifically, initialization: create a two-dimensional matrix (DTW matrix), the number of rows and columns of which are respectively equal to the lengths of the two time series. Each element (i, j) of the matrix represents the cumulative distance between the first i points of the first sequence and the first j points of the second sequence. Filling the DTW matrix: starting from the lower left corner (0, 0) of the matrix, by comparing the distances of the corresponding points in the two sequences and adding the minimum cumulative distance of the adjacent grids, the DTW matrix is filled. This process is usually completed using dynamic programming to ensure that when calculating each grid, it only depends on the three grids in its lower left corner, directly below, and directly to the left. Calculating the final distance: The element in the upper right corner (n, m) of the DTW matrix (where n and m are the lengths of the two sequences respectively) is the DTW distance between the two sequences, representing the cumulative distance in the best alignment of the two sequences, that is, the correlation between the two historical data.

[0111] Since when there is a high correlation between two parameters, their interaction and dependence can be more accurately understood and predicted. At this time, the recommended operating data will be closer to the actual operating requirements, thereby improving the accuracy and reliability of decision-making. For example, the secondary air volume is used to provide oxygen. When the secondary air volume increases, to a certain extent, the oxygen content will also increase. Therefore, a preset correlation degree threshold can be set to screen data pairs with a relatively high correlation degree, and the correlation degree higher than the preset correlation degree threshold is determined as the target correlation degree.

[0112] Specifically, for each data pair corresponding to the target correlation degree, analyze the degree of influence between them. The degree of influence can be determined by comparing the change amount of the flame temperature when the two parameters change. And based on the degree of influence between the two historical data corresponding to the target correlation degree and the current combustion data of the target burner, the recommended operating data is determined.

[0113] A possible implementation manner of the embodiment of the present application. In the above embodiment, determining the degree of influence between the two historical data corresponding to the target correlation degree includes: determining that the two historical data corresponding to the target correlation degree are the first historical data and the second historical data respectively; based on the correspondence between the first historical data and the historical flame temperature and the correspondence between the second historical data and the historical flame temperature, establish an influence curve between the first historical data and the second historical data; based on the influence curve, determine the degree of influence between the two historical data corresponding to the target correlation degree.

[0114] Determine the two historical data corresponding to the target correlation degree as the first historical data and the second historical data respectively, and plot the curve of the corresponding relationship between the first historical data and the historical flame temperature and the curve of the corresponding relationship between the second historical data and the historical flame temperature on the same chart to visually compare their shapes and trends. Further, identify the similar trends or patterns between the two curves. For example, when curve A rises, curve B also rises, or the peak of curve A corresponds to the peak of curve B.

[0115] Furthermore, analyze the relationship between the two curves by means of linear regression. For example, a regression model of curve A (independent variable) against curve B (dependent variable) can be established, and indicators such as the coefficients and R-squared value of the model can be calculated to quantify the degree of influence. According to the results of the quantitative analysis, determine the degree of influence between the two curves. For example, the coefficient of the regression model can represent the direction and magnitude of the influence of curve A on curve B, and the R-squared value can represent the fitting degree of the model to the data. Exemplarily, the secondary air volume is used to supply oxygen. When the secondary air volume increases, to a certain extent, the oxygen content also increases. When the secondary air volume increases by 5 cubic meters per minute and the increase duration of the secondary air volume is 5 minutes, the increase amount of oxygen is 5 kilograms.

[0116] The above embodiments introduce a boiler temperature monitoring method from the perspective of the method flow. The following embodiments introduce a boiler temperature monitoring device from the perspective of virtual modules or virtual units. For details, see the following embodiments.

[0117] See Figure 2 , the boiler temperature monitoring device 20 may specifically include: a temperature determination module 210, a combustion state determination module 220, a target burner determination module 230, an acquisition module 240, and an operating state determination module 250, where:

[0118] A boiler temperature monitoring device 20, comprising:

[0119] The temperature determination module 210 is configured to determine the flame temperature corresponding to each flame burner in the boiler;

[0120] The combustion state determination module 220 is configured to determine the combustion state of the flame burner corresponding to each flame temperature, and the combustion state is complete combustion, incomplete combustion or non-combustion;

[0121] The target burner determination module 230 is configured to, when there is a flame burner whose corresponding combustion state is incomplete combustion or non-combustion, determine the flame burner corresponding to the incomplete combustion or non-combustion state as the target burner;

[0122] An acquisition module 240, configured to acquire a combustion data set of a target burner, where the combustion data set includes at least two items of combustion data, and the combustion data are combustion parameters corresponding to respective combustion moments, and the combustion data are primary air volume, secondary air volume, pulverized coal concentration, or oxygen content;

[0123] An operating state determination module 250, configured to determine the operating state of a boiler based on the combustion data set of the target burner and the flame temperatures corresponding to respective flame burners.

[0124] In a possible implementation manner of the embodiment of the present application, when the temperature determination module 210 determines the flame temperatures corresponding to respective flame burners, specifically, it may be used for:

[0125] Acquire a first wavelength and a second wavelength of the monochromatic radiation intensity corresponding to the combustion of the flame burner;

[0126] Based on the first wavelength, the second wavelength, and the colorimetric temperature measurement method, determine the flame temperature of the flame burner.

[0127] In a possible implementation manner of the embodiment of the present application, when the temperature determination module 210 determines the flame temperature of the flame burner based on the first wavelength, the second wavelength, and the colorimetric temperature measurement method, specifically, it may be used for:

[0128] Acquire a first radiation intensity corresponding to the first wavelength and a second radiation intensity corresponding to the second wavelength;

[0129] Substitute the first wavelength, the second wavelength, the first radiation intensity, and the second radiation intensity into the following formula to obtain the flame temperature of the flame burner;

[0130] where the formula is

[0131] where T is the flame temperature of the flame burner, T 0 is the reference temperature, c 2 is the second radiation constant, λ 1 is the first wavelength, λ 2 is the second wavelength, Eλ 1 is the first radiation intensity, Eλ 2 is the second radiation intensity.

[0132] In a possible implementation manner of the embodiment of the present application, when the operating state determination module 250 determines the operating state of the boiler based on the combustion data set of the target burner and the flame temperatures corresponding to respective flame burners, it may specifically include:

[0133] Acquire the structural model of the boiler;

[0134] Based on the structural model, the combustion dataset of the target burner, and the respective flame temperatures corresponding to each flame burner, determine the operating state of the boiler.

[0135] Another possible implementation of the embodiment of the present application is that the boiler temperature monitoring device 20 may further include:

[0136] A historical operation data acquisition module, configured to acquire the historical operation data corresponding to the target burner. The historical operation data includes a historical combustion dataset and the historical flame temperature corresponding to the historical combustion dataset. The historical combustion dataset includes historical data of at least two historical combustion parameters corresponding to each historical moment. The historical data is the historical primary air volume, the historical secondary air volume, the historical pulverized coal concentration, or the historical oxygen content;

[0137] A recommended operation data determination module, configured to determine the recommended operation data based on the historical operation data corresponding to the target burner and the combustion dataset corresponding to the target burner. The recommended operation data includes at least one of the recommended primary air volume, the recommended secondary air volume, the recommended pulverized coal concentration, and the recommended oxygen content;

[0138] A generation module, configured to generate and display recommended information based on the operating state and the recommended operation data.

[0139] In a possible implementation of the embodiment of the present application, when the recommended operation data determination module determines the recommended operation data based on the historical operation data corresponding to the target burner and the combustion data corresponding to the target burner, it may specifically be used for:

[0140] Based on the historical operation data corresponding to the target burner, establish a first correspondence between the historical flame temperature and the historical primary air volume, a second correspondence between the historical flame temperature and the historical secondary air volume, a third correspondence between the historical flame temperature and the historical pulverized coal concentration, and a fourth correspondence between the historical flame temperature and the historical oxygen content;

[0141] Based on the first correspondence, the second correspondence, the third correspondence, and the fourth correspondence, determine the correlation degree between every two historical data in the historical dataset;

[0142] Determine the target correlation degree as the correlation degree higher than the preset correlation degree;

[0143] Determine the influence degree between the two historical data corresponding to the target correlation degree;

[0144] Based on the influence degree between the two historical data corresponding to the target correlation degree and the combustion data corresponding to the target burner, determine the recommended operation data.

[0145] In a possible implementation of the embodiments of the present application, when the recommended operation data determination module determines the influence degree between two historical data corresponding to the target correlation degree, it can specifically be used for:

[0146] Determine that the two historical data corresponding to the target correlation degree are the first historical data and the second historical data respectively;

[0147] Based on the correspondence between the first historical data and the historical flame temperature and the correspondence between the second historical data and the historical flame temperature, establish an influence curve between the first historical data and the second historical data;

[0148] Based on the influence curve, determine the influence degree between the two historical data corresponding to the target correlation degree.

[0149] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0150] The embodiments of the present application also introduce an electronic device from the perspective of an entity device, such as Figure 3 shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. Among them, the processor 301 and the memory 303 are connected, such as connected through a bus 302. Optionally, the electronic device 300 may further include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation to the embodiments of the present application.

[0151] The processor 301 may be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application-specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in combination with the disclosure of the present application. The processor 301 may also be a combination that implements a computing function, such as a combination of one or more microprocessors, a combination of a DSP, and a microprocessor, etc.

[0152] The bus 302 may include a path for transmitting information among the above components. The bus 302 can be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 302 can be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, Figure 3 it is only represented by a thick line in Figure 3 , but it does not mean that there is only one bus or one type of bus.

[0153] The memory 303 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or it can also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0154] The memory 303 is used to store the application program code for implementing the solution of this application and is controlled by the processor 301 to execute. The processor 301 is used to execute the application program code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0155] Among them, the electronic device includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and can also be a server, etc. Figure 3 The shown electronic device is only an example and should not bring any limitation to the functions and usage scope of the embodiments of this application.

[0156] The embodiments of this application provide a computer-readable storage medium on which a computer program is stored. When it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments.

[0157] It should be understood that although the steps in the flowcharts of the accompanying drawings are shown sequentially according to the indications of the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise clearly stated in this document, there is no strict order restriction for the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed alternately or in turn with at least some of the sub-steps or stages of other steps or other steps.

[0158] The above are only some embodiments of the present application. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present application, several improvements and refinements can still be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A boiler temperature monitoring method, characterized in that: include: Determine the flame temperature corresponding to each flame burner in the boiler; Determine a combustion state of the flame burner corresponding to each flame temperature, wherein the combustion state is complete combustion, incomplete combustion or non-combustion; When there is a flame burner whose corresponding combustion state is incomplete combustion or non-combustion, the flame burner corresponding to the incomplete combustion or non-combustion state is determined as the target burner; Acquire a combustion data set of the target burner, wherein the combustion data set includes at least two combustion data, wherein the combustion data is a combustion parameter corresponding to each combustion moment, and the combustion data is a primary air volume, a secondary air volume, a pulverized coal concentration or an oxygen amount; Determining the operating state of the boiler based on the combustion data set of the target burner and the flame temperatures corresponding to each of the flame burners; After determining the operating state of the boiler based on the combustion data set of the target burner, the method further includes: Acquire historical operation data corresponding to the target burner, wherein the historical operation data includes a historical combustion data set and a historical flame temperature corresponding to the historical combustion data set, wherein the historical combustion data set includes at least two historical data of historical combustion parameters corresponding to each historical moment, and the historical data includes a historical primary air volume, a historical secondary air volume, a historical coal powder concentration, or a historical oxygen content; Determine recommended operating data based on the historical operating data corresponding to the target burner and the combustion data set corresponding to the target burner, wherein the recommended operating data includes at least one of a recommended primary air volume, a recommended secondary air volume, a recommended pulverized coal concentration, and a recommended oxygen amount; Based on the operating status and the recommended operating data, generating and displaying recommendation information; Wherein, determining the recommended operating data based on the historical operating data corresponding to the target burner and the combustion data corresponding to the target burner includes: Based on the historical operation data corresponding to the target burner, a first corresponding relationship between the historical flame temperature and the historical primary air volume, a second corresponding relationship between the historical flame temperature and the historical secondary air volume, a third corresponding relationship between the historical flame temperature and the historical coal powder concentration, and a fourth corresponding relationship between the historical flame temperature and the historical oxygen amount are established; Based on the first corresponding relationship, the second corresponding relationship, the third corresponding relationship and the fourth corresponding relationship, establish a historical data sequence corresponding to each corresponding relationship, and for any two historical data sequences, create a two-dimensional DTW matrix with the number of rows and the number of columns equal to the lengths corresponding to the any two historical sequence data respectively; starting from the lower left corner of the matrix, by comparing the distances between the corresponding points in the two any two historical sequence data and adding the minimum cumulative distance of adjacent grids, fill the two-dimensional DTW matrix by dynamic programming; use the element (n, m) at the upper right corner of the two-dimensional DTW matrix as the DTW distance between the two time series data corresponding to the association degree, wherein n and m are the lengths corresponding to the any two historical sequence data respectively; based on the DTW distance corresponding to each two historical sequence data, determine the association degree between each two historical data in the historical data set; determining a correlation degree higher than a preset correlation degree as a target correlation degree; Determine the influence degree between the two historical data corresponding to the target correlation degree; Recommended operating data is determined based on the influence degree between the two historical data corresponding to the target correlation degree and the combustion data corresponding to the target burner.

2. The boiler temperature monitoring method according to claim 1, characterized in that: The process of determining the flame temperature corresponding to each flame burner includes: Acquire a first wavelength and a second wavelength of the monochromatic radiation intensity corresponding to the combustion of the flame burner; Based on the first wavelength, the second wavelength, and colorimetric thermometry, a flame temperature of the flame burner is determined.

3. The boiler temperature monitoring method according to claim 2, characterized in that: The method of determining the flame temperature of the flame burner based on the first wavelength, the second wavelength and the colorimetric temperature measurement method includes: Acquire a first radiation intensity corresponding to the first wavelength and a second radiation intensity corresponding to the second wavelength; Substituting the first wavelength, the second wavelength, the first radiation intensity and the second radiation intensity into the following formula, the flame temperature of the flame burner is obtained; Among them, the formula is Wherein, T is the flame temperature of the flame burner, T0 is the reference temperature, c2 is the second radiation constant, λ1 is the first wavelength, λ2 is the second wavelength, Eλ1 is the first radiation intensity, and Eλ2 is the second radiation intensity.

4. The boiler temperature monitoring method according to claim 1, characterized in that: The step of determining the operating state of the boiler based on the combustion data set of the target burner and the flame temperatures corresponding to each of the flame burners comprises: Acquire a structural model of the boiler; The operating state of the boiler is determined based on the structural model, the combustion data set of the target burner, and the flame temperatures corresponding to each of the flame burners.

5. The boiler temperature monitoring method according to claim 1, characterized in that: Determining the influence degree between the two historical data corresponding to the target correlation degree includes: Determine that the two historical data corresponding to the target relevance are the first historical data and the second historical data; Establishing an influence curve between the first historical data and the second historical data based on the corresponding relationship between the first historical data and the historical flame temperature and the corresponding relationship between the second historical data and the historical flame temperature; Based on the influence curve, the influence degree between the two historical data corresponding to the target correlation degree is determined.

6. A boiler temperature monitoring device, characterized in that: include: A temperature determination module is used to determine the flame temperature corresponding to each flame burner in the boiler; A combustion state determination module, used to determine the combustion state of the flame burner corresponding to each flame temperature, wherein the combustion state is complete combustion, incomplete combustion or non-combustion; A target burner determination module is used to determine the flame burner corresponding to the incomplete combustion or non-combustion state as the target burner when there is a flame burner corresponding to the incomplete combustion or non-combustion state; An acquisition module, used for acquiring a combustion data set of the target burner, wherein the combustion data set includes at least two combustion data, wherein the combustion data is a combustion parameter corresponding to each combustion moment, and the combustion data is a primary air volume, a secondary air volume, a coal powder concentration or an oxygen content; An operation state determination module, used to determine the operation state of the boiler based on the combustion data set of the target burner and the flame temperatures corresponding to each of the flame burners; The boiler temperature monitoring device also includes: A historical operation data acquisition module is used to acquire historical operation data corresponding to a target burner, wherein the historical operation data includes a historical combustion data set and a historical flame temperature corresponding to the historical combustion data set, wherein the historical combustion data set includes at least two historical data of historical combustion parameters corresponding to each historical moment, wherein the historical data includes a historical primary air volume, a historical secondary air volume, a historical coal powder concentration or a historical oxygen content; A recommended operation data determination module, configured to determine recommended operation data based on the historical operation data corresponding to the target burner and the combustion data set corresponding to the target burner, wherein the recommended operation data includes at least one of a recommended primary air volume, a recommended secondary air volume, a recommended pulverized coal concentration, and a recommended oxygen amount; A generating module, configured to generate and display recommendation information based on the operating status and the recommended operating data; Wherein, when the recommended operating data determination module determines the recommended operating data based on the historical operating data corresponding to the target burner and the combustion data corresponding to the target burner, it is specifically used to: Based on the historical operation data corresponding to the target burner, a first corresponding relationship between the historical flame temperature and the historical primary air volume, a second corresponding relationship between the historical flame temperature and the historical secondary air volume, a third corresponding relationship between the historical flame temperature and the historical coal powder concentration, and a fourth corresponding relationship between the historical flame temperature and the historical oxygen amount are established; Based on the first corresponding relationship, the second corresponding relationship, the third corresponding relationship and the fourth corresponding relationship, establish a historical data sequence corresponding to each corresponding relationship, and for any two historical data sequences, create a two-dimensional DTW matrix with the number of rows and the number of columns equal to the lengths corresponding to the any two historical sequence data respectively; starting from the lower left corner of the matrix, by comparing the distances between the corresponding points in the two any two historical sequence data and adding the minimum cumulative distance of adjacent grids, fill the two-dimensional DTW matrix by dynamic programming; use the element (n, m) at the upper right corner of the two-dimensional DTW matrix as the DTW distance between the two time series data corresponding to the association degree, wherein n and m are the lengths corresponding to the any two historical sequence data respectively; based on the DTW distance corresponding to each two historical sequence data, determine the association degree between each two historical data in the historical data set; determining a correlation degree higher than a preset correlation degree as a target correlation degree; Determine the influence degree between the two historical data corresponding to the target correlation degree; Recommended operating data is determined based on the influence degree between the two historical data corresponding to the target correlation degree and the combustion data corresponding to the target burner.

7. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the boiler temperature monitoring method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the boiler temperature monitoring method according to any one of claims 1 to 5.

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