Method and system for dynamically monitoring high-temperature corrosion of heating surface pipe of waste incineration boiler

Abstract

The invention discloses a method and a system for dynamically monitoring high-temperature corrosion of a heating surface pipe of a waste incineration boiler, and relates to the technical field of dynamic monitoring. In the operation process of the waste incineration boiler, multi-band radiation signal data and high-temperature corrosion data of a heating surface pipe in the waste incineration boiler are collected, operation fluctuation analysis is conducted on the multi-band radiation signal data, and dynamic fluctuation index values of all bands of the heating surface pipe are obtained; further judging to obtain a sensitive characteristic wave band and a corrosion influence type of the sensitive characteristic wave band, then performing modal decomposition processing to obtain oscillation modal data of the sensitive characteristic wave band, and obtaining an apparent corrosion characteristic value based on the high-temperature corrosion data; and performing fusion correlation analysis on the apparent corrosion characteristic value, the oscillation modal data of the sensitive characteristic wave band and the corrosion influence type to obtain a high-temperature corrosion risk assessment value and a corrosion influence type set, finally performing analysis to obtain high-temperature corrosion risk information, and performing dynamic monitoring risk early warning in combination with the corrosion influence type set. And the accuracy of dynamic monitoring is improved.

Description

Technical Field

[0001] This invention relates to the field of dynamic monitoring technology, specifically to a method and system for dynamic monitoring of high-temperature corrosion of heated surface tubes in waste incineration boilers. Background Technology

[0002] During the long-term operation of waste incineration boilers, the heating surface pipes are exposed to a complex flue gas environment with high temperature and high corrosiveness. The metal of the pipe wall is subjected to high-temperature corrosion caused by substances such as chlorides, sulfur oxides and alkali metal salts. This process seriously threatens the safety and economy of boiler operation. In order to achieve timely understanding of the corrosion status and risk warning, the industry generally relies on online monitoring technology based on principles such as spectroscopy to indirectly assess the corrosion process by analyzing the radiation signals of the heating surface pipes.

[0003] However, the actual combustion conditions and fuel composition of boilers are constantly changing, leading to the simultaneous occurrence and coupling of multiple mechanisms such as chlorination corrosion, sulfur corrosion, and alkali metal corrosion. The characteristic signals generated by these mechanisms are nonlinearly mixed and superimposed in the monitoring data, forming a complex state that is difficult to analyze. Existing conventional monitoring methods are mostly based on assumptions about a single corrosion mechanism or stable operating conditions. When faced with such a complex dynamic scenario of multiple coupled mechanisms, there is a lack of effective technical means to trace and isolate the independent contributions of various corrosion mechanisms from the mixed signals, and it is also impossible to quantify and assess the synergistic enhancement effect that may occur when multiple corrosion mechanisms coexist. Therefore, the output results of traditional methods cannot accurately reflect the specific degree of influence of different corrosion mechanisms and their interaction, making it difficult to provide accurate judgments on the dominant corrosion factors and the level of composite risk, thus limiting the pertinence of early warnings and the accuracy of operational adjustments. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method and system for dynamic monitoring of high-temperature corrosion of heated surface tubes in waste incineration boilers, which can effectively solve the problems mentioned in the background technology.

[0005] To achieve the above objectives, the first aspect of the present invention is achieved through the following technical solution: a method for dynamic monitoring of high-temperature corrosion of heated surface tubes in a waste incineration boiler, comprising collecting multi-band radiation signal data and high-temperature corrosion data of heated surface tubes in the waste incineration boiler during the operation of the waste incineration boiler.

[0006] Operational fluctuation analysis was performed on the multi-band radiation signal data of the heated surface tube to obtain the dynamic fluctuation index values ​​of each band of the heated surface tube. Based on the dynamic fluctuation index values ​​of each band of the heated surface tube, the sensitive characteristic bands of the heated surface tube and the corrosion influence types of the sensitive characteristic bands were identified.

[0007] Mode decomposition processing is performed on the multi-band radiation signal data of the sensitive characteristic band to obtain the oscillation mode data of the sensitive characteristic band. Based on the high-temperature corrosion data of the heated surface tube, the apparent corrosion characteristic value of the heated surface tube is obtained.

[0008] By fusing and correlating the apparent corrosion characteristic values, oscillation mode data of sensitive characteristic bands, and corrosion impact types of the heated surface tube, a set of high-temperature corrosion risk assessment values ​​and corrosion impact types for the heated surface tube is obtained.

[0009] Based on the high-temperature corrosion risk assessment value of the heated surface tube, the high-temperature corrosion risk information of the heated surface tube is analyzed, and dynamic monitoring and risk warning are carried out by combining the high-temperature corrosion risk information of the heated surface tube and the set of corrosion impact types.

[0010] Furthermore, the method for collecting multi-band radiation signal data and high-temperature corrosion data of the heated surface tubes in the waste incineration boiler is as follows: during the operation of the waste incineration boiler, the radiation intensity of each band and high-temperature corrosion data of the corresponding heated surface tubes of the waste incineration boiler are synchronously acquired through the boiler operation data interface.

[0011] The radiation intensity of each band of the heated surface tube is collected and processed in a continuous segment according to a preset time window to obtain the radiation intensity of each band of the heated surface tube within the preset time window.

[0012] The radiation intensity of each band of the heated surface tube is traversed within the preset time window. The maximum and minimum values ​​of the radiation intensity of each band are extracted. The difference between the maximum and minimum values ​​of the radiation intensity of each band is divided by the average value of the maximum and minimum values ​​of the radiation intensity of each band to obtain the rate of change of the radiation intensity of each band of the heated surface tube.

[0013] The average radiation intensity of each band of the heated surface tube within the preset time window is obtained statistically. The radiation intensity of each band of the heated surface tube is traversed, and the number of times the radiation intensity of each band of the heated surface tube is greater than the average value of the radiation intensity of each band is counted. This number is recorded as the frequency of radiation signal fluctuation of each band of the heated surface tube.

[0014] The radiation intensity of each band, the rate of change of radiation intensity of each band, and the frequency of radiation signal fluctuation of each band of the heated surface tube are encapsulated into multi-band radiation signal data of the heated surface tube.

[0015] The high-temperature corrosion data for the heated surface tubes include the average tube wall temperature, the average concentration of corrosive gases, and the historical corrosion coverage ratio.

[0016] Furthermore, the method for analyzing the operational fluctuations of the multi-band radiation signal data of the heated surface tube is as follows: the multi-band radiation signal data of the heated surface tube within a preset time window is fused and weighted to obtain the dynamic fluctuation index values ​​of each band of the heated surface tube. The dynamic fluctuation index values ​​of each band of the heated surface tube are used to characterize the quantitative result of the multi-band radiation signal data of the heated surface tube jointly representing the degree of abnormal fluctuation in each band.

[0017] Furthermore, the method for determining the sensitive characteristic bands and corrosion influence types of the sensitive characteristic bands of the heated surface tube is as follows: extract the dynamic fluctuation index values ​​of each band of the heated surface tube within a preset time window, compare the dynamic fluctuation index values ​​of each band of the heated surface tube within the preset time window with a preset dynamic fluctuation index threshold, and if the dynamic fluctuation index values ​​of each band of the heated surface tube within the corresponding preset time window are higher than or equal to the preset dynamic fluctuation index threshold, then the corresponding band is marked as a sensitive characteristic band of the heated surface tube; otherwise, no marking is performed.

[0018] Simultaneously, the dynamic fluctuation index values ​​of each band of the heated surface tube within the preset time window are sorted from high to low, and the bands corresponding to the highest preset number of dynamic fluctuation index values ​​in each band are selected and recorded as the sensitive characteristic bands of the heated surface tube.

[0019] Based on the sensitive characteristic bands of the heated surface tube, the corrosion influence type of the sensitive characteristic bands is obtained by matching from the preset band-corrosion type mapping knowledge base.

[0020] Furthermore, the method for performing mode decomposition processing on the multi-band radiation signal data of sensitive characteristic bands is as follows: the radiation intensity of each band of all sensitive characteristic bands identified within a preset time window is arranged in a preset band order to construct a multi-channel time series signal; multivariate empirical mode decomposition is performed on the multi-channel time series signal; and the multi-channel time series signal is iteratively decomposed into multivariate intrinsic mode function components arranged from high frequency to low frequency.

[0021] Among all the multivariable intrinsic mode function components obtained by decomposition, multivariable intrinsic mode function components that meet the following two conditions are selected as candidate oscillation modes for sensitive characteristic bands: First, the center frequency of the multivariable intrinsic mode function component is located within the preset physical process characteristic frequency range; Second, the average correlation coefficient of the oscillation waveform of the multivariable intrinsic mode function component on all sensitive characteristic band channels is greater than the preset correlation coefficient threshold.

[0022] From all candidate oscillation modes in the sensitive characteristic band, the candidate oscillation mode with the highest average correlation coefficient of the oscillation waveform in the sensitive characteristic band channel is selected and denoted as the effective common-mode oscillation mode of the sensitive characteristic band. The instantaneous amplitude sequence and instantaneous frequency sequence of the effective common-mode oscillation mode are recorded within a preset time window. The instantaneous amplitude sequence and instantaneous frequency sequence of the effective common-mode oscillation mode together constitute the oscillation mode data of the sensitive characteristic band.

[0023] Furthermore, the method for obtaining the apparent corrosion characteristic value of the heated surface tube is as follows: based on the high-temperature corrosion data of the heated surface tube, the apparent corrosion characteristic value of the heated surface tube is obtained through processing. The apparent corrosion characteristic value of the heated surface tube is used to characterize the quantitative result of the high-temperature corrosion data of the heated surface tube on the corrosion severity of the heated surface tube.

[0024] Furthermore, the method for fusing and correlating the apparent corrosion characteristic values ​​of the heated surface tube, the oscillation mode data of the sensitive characteristic bands, and the corrosion influence type is as follows: based on the corrosion influence type of the sensitive characteristic bands, the number of sensitive characteristic bands corresponding to each corrosion influence type within a preset time window is counted.

[0025] Based on the number of sensitive characteristic bands corresponding to each type of corrosion influence within a preset time window, the synergistic risk amplification coefficient of the heated surface tube is obtained by matching from a preset multi-corrosion synergistic effect coefficient table.

[0026] The corrosion impact types of all sensitive characteristic bands within the preset time window are statistically analyzed and denoted as the corrosion impact type set of the heated surface tube.

[0027] The average value of the instantaneous amplitude sequence of the effective common-mode oscillation within the preset time window is recorded as the reference value of the oscillation mode intensity of the sensitive characteristic band.

[0028] The average value of the instantaneous frequency sequence of the effective common-mode oscillation within the preset time window is recorded as the reference value of the oscillation frequency of the sensitive characteristic band.

[0029] By comprehensively analyzing the benchmark values ​​of the oscillation mode intensity and the benchmark values ​​of the oscillation frequency of the sensitive characteristic band, a risk assessment value of the oscillation mode of the sensitive characteristic band is obtained. The risk assessment value of the oscillation mode of the sensitive characteristic band is used to characterize the quantitative result of the combined effect of the benchmark values ​​of the oscillation mode intensity and the benchmark values ​​of the oscillation frequency of the sensitive characteristic band on the severity of corrosion activity.

[0030] Based on the apparent corrosion characteristic values ​​of the heated surface tube, the apparent corrosion influencing factor of the heated surface tube is obtained.

[0031] The average value of the oscillation mode risk assessment values ​​for all sensitive characteristic bands is taken to obtain the oscillation mode risk characteristic value of the heated surface tube.

[0032] The product of the synergistic risk amplification coefficient, the oscillation mode risk characteristic value, and the apparent corrosion influence factor of the heated surface tube is denoted as the high-temperature corrosion risk assessment value of the heated surface tube. The high-temperature corrosion risk assessment value of the heated surface tube is used to characterize the quantitative result of the synergistic risk amplification coefficient, the oscillation mode risk characteristic value, and the apparent corrosion influence factor of the heated surface tube on the degree of rapid melting risk of the heated surface tube.

[0033] Furthermore, the method for obtaining the high-temperature corrosion risk information of the heated surface tube is as follows: the high-temperature corrosion risk information of the heated surface tube includes severe risk, early warning risk, and no risk.

[0034] The high-temperature corrosion risk assessment value of the heated surface tube is compared with the preset first high-temperature corrosion risk assessment threshold. If the high-temperature corrosion risk assessment value of the heated surface tube is higher than or equal to the preset first high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk information of the heated surface tube is marked as a serious risk.

[0035] If the high-temperature corrosion risk assessment value of the heated surface tube is lower than the preset first high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk assessment value of the heated surface tube is compared with the preset second high-temperature corrosion risk assessment threshold. If the high-temperature corrosion risk assessment value of the heated surface tube is higher than or equal to the preset second high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk information of the heated surface tube is marked as a warning risk.

[0036] If the high-temperature corrosion risk assessment value of the heated surface tube is lower than the preset second high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk information of the heated surface tube will be marked as no risk.

[0037] Furthermore, the method for dynamic monitoring and risk warning by combining the high-temperature corrosion risk information and corrosion impact type set of the heated surface tube is as follows: extract the high-temperature corrosion risk information of the heated surface tube; if the high-temperature corrosion risk information of the heated surface tube is a serious risk, then send the serious high-temperature corrosion risk information and corrosion impact type set of the heated surface tube to the mobile terminal of the staff for display.

[0038] If the high-temperature corrosion risk information of the heated surface tube is a warning risk, the warning high-temperature corrosion risk information and the set of corrosion impact types of the heated surface tube will be sent to the staff's mobile terminal for display. If the high-temperature corrosion risk information of the heated surface tube is no risk, no information needs to be sent.

[0039] The second aspect of the present invention provides a dynamic monitoring system for high-temperature corrosion of heated surface tubes in a waste incineration boiler, comprising: a data acquisition module for acquiring multi-band radiation signal data and high-temperature corrosion data of heated surface tubes in the waste incineration boiler during operation.

[0040] The fluctuation analysis module is used to perform operational fluctuation analysis on the multi-band radiation signal data of the heated surface tube, obtain the dynamic fluctuation index values ​​of each band of the heated surface tube, and determine the sensitive characteristic bands and corrosion influence types of the sensitive characteristic bands based on the dynamic fluctuation index values ​​of each band of the heated surface tube.

[0041] The mode decomposition module is used to perform mode decomposition processing on multi-band radiation signal data of sensitive characteristic bands to obtain oscillation mode data of sensitive characteristic bands. Based on the high-temperature corrosion data of the heated surface tube, the module processes the data to obtain the apparent corrosion characteristic values ​​of the heated surface tube.

[0042] The risk assessment module is used to fuse and correlate the apparent corrosion characteristic values, oscillation mode data of sensitive characteristic bands, and corrosion impact types of the heated surface tube to obtain the high-temperature corrosion risk assessment value and corrosion impact type set of the heated surface tube.

[0043] The risk warning module is used to analyze the high-temperature corrosion risk information of the heated surface tube based on the high-temperature corrosion risk assessment value, and to perform dynamic monitoring and risk warning by combining the high-temperature corrosion risk information of the heated surface tube with the set of corrosion impact types.

[0044] The present invention has the following beneficial effects: Existing technologies mostly assess the macroscopic severity of corrosion based on a single indicator or overall spectral changes, which cannot analyze complex scenarios under the combined action of multiple corrosion sources such as chlorides, sulfur oxides, and alkali metal salts. This invention constructs a band-corrosion type mapping knowledge base to accurately associate spectral band anomalies with specific types of corrosive chemical substances. Furthermore, it introduces a multi-corrosion synergistic effect coefficient table, which for the first time quantifies the nonlinear synergistic acceleration risk that may occur when multiple corrosion mechanisms coexist in the monitoring model. This solves the core problem of traditional methods in dealing with signal aliasing and the inability to trace the dominant factor when facing multiple mechanism coupling, and makes the monitoring results have clear mechanistic orientation.

[0045] This invention shifts the monitoring focus forward. By analyzing the dynamic fluctuation indicators of radiation signals and extracting common-mode oscillations that represent microscopic instability at the interface, it can capture subtle signs of dynamic instability before the corrosion product film undergoes a phase transition or peels off. This capture of the precursor state allows the system to issue early warnings before the corrosion rate jumps or the large-scale formation of eutectic phases leads to a sharp increase in the risk of melting, thus gaining valuable time for operational adjustments.

[0046] This invention deeply correlates macroscopic environmental data, microscopic dynamic signals, and corrosion mechanism information, and ultimately outputs accurate early warning information that includes not only risk level but also a set of corrosion impact types. This greatly enhances the pertinence and operability of the early warning information, improves the accuracy and efficiency of operators' intervention measures such as adjusting fuel ratios and adding additives, and thus improves the safety and economy of boiler operation. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0048] Figure 2 This is a schematic diagram of the system module connections of the present invention. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] Please see Figure 1 As shown, the first aspect of the present invention provides a technical solution: a method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler, comprising collecting multi-band radiation signal data and high-temperature corrosion data of the heating surface tubes in the waste incineration boiler during the operation of the waste incineration boiler.

[0051] Operational fluctuation analysis was performed on the multi-band radiation signal data of the heated surface tube to obtain the dynamic fluctuation index values ​​of each band of the heated surface tube. Based on the dynamic fluctuation index values ​​of each band of the heated surface tube, the sensitive characteristic bands of the heated surface tube and the corrosion influence types of the sensitive characteristic bands were identified.

[0052] Mode decomposition processing is performed on the multi-band radiation signal data of the sensitive characteristic band to obtain the oscillation mode data of the sensitive characteristic band. Based on the high-temperature corrosion data of the heated surface tube, the apparent corrosion characteristic value of the heated surface tube is obtained.

[0053] By fusing and correlating the apparent corrosion characteristic values, oscillation mode data of sensitive characteristic bands, and corrosion impact types of the heated surface tube, a set of high-temperature corrosion risk assessment values ​​and corrosion impact types for the heated surface tube is obtained.

[0054] Based on the high-temperature corrosion risk assessment value of the heated surface tube, the high-temperature corrosion risk information of the heated surface tube is analyzed, and dynamic monitoring and risk warning are carried out by combining the high-temperature corrosion risk information of the heated surface tube and the set of corrosion impact types.

[0055] Specifically, the method for collecting multi-band radiation signal data and high-temperature corrosion data of the heated surface tubes in the waste incineration boiler is as follows: during the operation of the waste incineration boiler, the radiation intensity of each band and high-temperature corrosion data of the corresponding heated surface tubes of the waste incineration boiler are synchronously acquired through the boiler operation data interface.

[0056] It should be added that the radiation intensity of each band of the heated surface tube refers to the strength of the radiation energy of the heated surface tube surface at multiple preset characteristic wavelengths, reflecting the real-time thermal radiation state of the heated surface tube wall. The radiation intensity of each band of the heated surface tube is obtained by directly measuring and recording it through a multispectral pyrometer.

[0057] The radiation intensity of each band of the heated surface tube is collected and processed in a continuous segment according to a preset time window to obtain the radiation intensity of each band of the heated surface tube within the preset time window.

[0058] The radiation intensity of each band of the heated surface tube is traversed within the preset time window. The maximum and minimum values ​​of the radiation intensity of each band are extracted. The difference between the maximum and minimum values ​​of the radiation intensity of each band is divided by the average value of the maximum and minimum values ​​of the radiation intensity of each band to obtain the rate of change of the radiation intensity of each band of the heated surface tube.

[0059] The average radiation intensity of each band of the heated surface tube within the preset time window is obtained statistically. The radiation intensity of each band of the heated surface tube is traversed, and the number of times the radiation intensity of each band of the heated surface tube is greater than the average value of the radiation intensity of each band is counted. This number is recorded as the frequency of radiation signal fluctuation of each band of the heated surface tube.

[0060] The radiation intensity of each band, the rate of change of radiation intensity of each band, and the frequency of radiation signal fluctuation of each band of the heated surface tube are encapsulated into multi-band radiation signal data of the heated surface tube.

[0061] The high-temperature corrosion data for the heated surface tubes include the average tube wall temperature, the average concentration of corrosive gases, and the historical corrosion coverage ratio.

[0062] It should be added that the average wall temperature of the heated surface tube refers to the average temperature of the outer metal wall of the heated surface tube within the monitoring area, reflecting the degree of heating of the tube wall. This is achieved by measuring the temperature at each measuring point using multiple thermocouple sensors embedded in or closely attached to the tube wall, and then taking the arithmetic mean of all the temperature values. The average corrosive gas concentration of the heated surface tube refers to the average content of corrosive components such as hydrogen chloride and sulfur dioxide in the flue gas near the heated surface tube, reflecting the strength of the chemical driving force of the corrosive environment. This is achieved by using a high-temperature sampling probe located near the heated surface tube and an online gas... The volume analyzer continuously measures the real-time concentration values ​​of each corrosive gas. The arithmetic mean of the concentration values ​​within a preset time window is taken to obtain the average concentration of the corrosive gas. The historical corrosion coverage ratio of the heated surface tube refers to the percentage of the area occupied by corrosion products or corrosion areas on the historical observation surface of the heated surface tube, reflecting the extent of corrosion. Digital images of the heated surface tube surface are acquired through an industrial endoscope. Corrosion feature areas in the image are identified and outlined using image analysis software. The ratio of the pixel area of ​​the corrosion feature area to the pixel area of ​​the total observation area of ​​the image is calculated to obtain the corrosion coverage ratio.

[0063] Specifically, the method for analyzing the operational fluctuations of the multi-band radiation signal data of the heated surface tube is as follows: the multi-band radiation signal data of the heated surface tube within a preset time window is fused and weighted to obtain the dynamic fluctuation index values ​​of each band of the heated surface tube. The dynamic fluctuation index values ​​of each band of the heated surface tube are used to characterize the quantitative result of the multi-band radiation signal data of the heated surface tube on the degree of abnormal fluctuation of each band.

[0064] In this embodiment, the dynamic fluctuation index values ​​of each band of the heated surface tube can be obtained through the following analysis method, with the specific analysis conditions as follows: ; In the formula, This represents the dynamic fluctuation index value of the i-th band of the heated surface tube. This represents the radiation intensity of the i-th band of the heated surface tube. This represents the preset reference value for the radiation intensity of the i-th band of the heated surface tube. This represents the dynamic fluctuation influence factor corresponding to the set unit band radiation intensity. This represents the rate of change of the radiation intensity in the i-th band of the heated surface tube. This represents the dynamic fluctuation impact factor corresponding to the set rate of change in radiation intensity. This represents the frequency fluctuation of the i-th band of radiation signal from the heated surface tube. This represents the dynamic fluctuation influence factor corresponding to the set unit band radiation signal fluctuation frequency.

[0065] It should be added that, in this embodiment, the preset dynamic fluctuation influence factors corresponding to the unit band radiation intensity, the dynamic fluctuation influence factors corresponding to the radiation intensity change rate, and the dynamic fluctuation influence factors corresponding to the unit band radiation signal fluctuation frequency are obtained from the dynamic monitoring database.

[0066] It should be explained that the dynamic fluctuation influence factors corresponding to the unit band radiation intensity, radiation intensity change rate, and unit band radiation signal fluctuation frequency are used to adjust the importance of the multi-band radiation signal data of the heated surface tube in the process of analyzing and obtaining the dynamic fluctuation index values ​​of each band of the heated surface tube. For example, a mapping relationship between the multi-band radiation signal data of the heated surface tube and the dynamic fluctuation influence factor is set in the dynamic monitoring database. Through the pre-set mapping relationship, the dynamic fluctuation influence factor corresponding to the real-time multi-band radiation signal data of the heated surface tube can be matched. By matching the multi-band radiation signal data of the heated surface tube with the pre-set mapping relationship, the dynamic fluctuation influence factors corresponding to the unit band radiation intensity, radiation intensity change rate, and unit band radiation signal fluctuation frequency are obtained.

[0067] In this implementation scheme, the radiation intensity of each band of the heated surface tube, the rate of change of radiation intensity of each band, and the frequency of fluctuation of radiation signal of each band are correlated and do not exist independently. For example, the radiation intensity of each band is the basis for reflecting the thermal state of the tube wall, and its absolute level constitutes the baseline of signal change. The rate of change of radiation intensity of each band directly reflects the severity of the sudden change in signal amplitude on this baseline, while the frequency of fluctuation of radiation signal of each band further reveals the frequency density of such sudden changes or disturbances. A significant abnormal fluctuation process is often manifested simultaneously by radiation intensity deviating from the normal state, a sudden increase in the rate of change, and a significant increase in the frequency of fluctuation. These three factors all point to the surface state of the heated surface tube, such as the microscopic instability of corrosion product generation, adhesion, or peeling. The comprehensive analysis of the dynamic fluctuation index values ​​of each band of the heated surface tube can quantitatively assess the non-stationarity and activity of the band signal implied by the corrosion kinetic process, thereby helping to more accurately screen out the sensitive characteristic bands most related to corrosion activity from many bands, providing reliable input for subsequent in-depth analysis.

[0068] Specifically, the method for identifying the sensitive characteristic bands and corrosion influence types of the heated surface tube is as follows: extract the dynamic fluctuation index values ​​of each band of the heated surface tube within a preset time window, compare the dynamic fluctuation index values ​​of each band of the heated surface tube within the preset time window with preset dynamic fluctuation index thresholds. If the dynamic fluctuation index values ​​of each band of the heated surface tube within the corresponding preset time window are higher than or equal to the preset dynamic fluctuation index thresholds, then the corresponding band is marked as a sensitive characteristic band of the heated surface tube; otherwise, it is not marked. From continuous multi-band radiation signals, the key spectral features most relevant to potential corrosion activities are accurately identified and locked, providing a precise analytical basis for the entire monitoring method.

[0069] Simultaneously, the dynamic fluctuation index values ​​of each band of the heated surface tube within the preset time window are sorted from high to low, and the bands corresponding to the highest preset number of dynamic fluctuation index values ​​in each band are selected and recorded as the sensitive characteristic bands of the heated surface tube.

[0070] Based on the sensitive characteristic wavelengths of the heated surface tube, the corrosion influence types of the sensitive characteristic wavelengths are matched from a preset wavelength-corrosion type mapping knowledge base. The corrosion influence types of the sensitive characteristic wavelengths include, but are not limited to, chloride corrosion, sulfur oxide corrosion, and alkali metal compound corrosion. The wavelength-corrosion type mapping knowledge base pre-stores the correspondence between different spectral band numbers and corrosion influence types such as chloride corrosion, sulfur oxide corrosion, and alkali metal compound corrosion. Those skilled in the art can simulate typical corrosion environments such as single chloride atmosphere, sulfur oxide atmosphere, and alkali metal salt enrichment atmosphere on a laboratory-controlled hot corrosion test bench, conduct corrosion tests on heated surface tube samples, and collect standard spectral data of the sample surface under different corrosion influence types. The wavelength-corrosion type mapping knowledge base is obtained through similarity analysis.

[0071] Specifically, the method for modal decomposition processing of multi-band radiation signal data of sensitive characteristic bands is as follows: the radiation intensity of each band of all sensitive characteristic bands identified within a preset time window is arranged in a preset band order to construct a multi-channel time series signal. This multi-channel time series signal consists of radiation intensity sequences of multiple sensitive characteristic bands. The multivariate empirical mode decomposition algorithm is used to perform multivariate empirical mode decomposition on the multi-channel time series signal, and the multi-channel time series signal is iteratively decomposed into multivariate intrinsic mode function components arranged from high frequency to low frequency, reflecting the different frequency components of the signal.

[0072] Among all the multivariable intrinsic mode function components obtained by decomposition, multivariable intrinsic mode function components that meet the following two conditions are selected as candidate oscillation modes for sensitive characteristic bands: First, the center frequency of the multivariable intrinsic mode function component is located within the preset physical process characteristic frequency range; Second, the average correlation coefficient of the oscillation waveform of the multivariable intrinsic mode function component on all sensitive characteristic band channels is greater than the preset correlation coefficient threshold.

[0073] It should be added that the center frequency of the multivariable intrinsic mode function component represents the main oscillation frequency of the multivariable intrinsic mode function component, reflecting the spectral characteristics of the band signal. The specific calculation method is to perform frequency domain transformation on the time domain signal of each intrinsic mode function component, obtain the spectrum, identify the center frequency of the time domain signal, and record it as the center frequency of the multivariable intrinsic mode function component. Extract the signal sequence of the multivariable intrinsic mode function component on all sensitive characteristic band channels, calculate the Pearson correlation coefficient between each pair of these channel signal sequences, and finally calculate the arithmetic mean of these correlation coefficient values. This average value is defined as the average correlation coefficient of the oscillation waveform of the multivariable intrinsic mode function component on all sensitive characteristic band channels.

[0074] From all candidate oscillation modes in the sensitive characteristic band, the candidate oscillation mode with the highest average correlation coefficient of the oscillation waveform in the sensitive characteristic band channel is selected and denoted as the effective common-mode oscillation mode of the sensitive characteristic band. The instantaneous amplitude sequence and instantaneous frequency sequence of the effective common-mode oscillation mode are recorded within a preset time window. The instantaneous amplitude sequence and instantaneous frequency sequence of the effective common-mode oscillation mode together constitute the oscillation mode data of the sensitive characteristic band.

[0075] Specifically, the method for processing and obtaining the apparent corrosion characteristic value of the heated surface tube is as follows: based on the high-temperature corrosion data of the heated surface tube, the apparent corrosion characteristic value of the heated surface tube is obtained. The apparent corrosion characteristic value of the heated surface tube is used to characterize the quantitative result of the high-temperature corrosion data of the heated surface tube on the corrosion severity of the heated surface tube.

[0076] In this embodiment, the apparent corrosion characteristic value of the heated surface tube can be obtained through the following analysis method, with the specific analysis conditions as follows: ; In the formula, This represents the apparent corrosion characteristic value of the heated surface tube. This represents the average wall temperature of the heated surface tube. This represents the apparent corrosion impact factor corresponding to the set average unit pipe wall temperature. This represents the average concentration of corrosive gases on the heated surface tube. This represents the apparent corrosion influencing factor corresponding to the set average unit corrosive gas concentration. This indicates the historical corrosion coverage percentage of the heated surface tube. This represents the apparent corrosion impact factor corresponding to the set historical corrosion coverage ratio.

[0077] It should be added that, in this embodiment, the apparent corrosion impact factor corresponding to the average unit pipe wall temperature, the apparent corrosion impact factor corresponding to the average unit corrosive gas concentration, and the apparent corrosion impact factor corresponding to the historical corrosion coverage ratio are obtained from the dynamic monitoring database.

[0078] It should be explained that the apparent corrosion influence factors corresponding to the unit average pipe wall temperature, the unit average corrosive gas concentration, and the historical corrosion coverage ratio are used to adjust the importance of the high-temperature corrosion data of the heated surface pipe in the process of analyzing and obtaining the apparent corrosion characteristic value of the heated surface pipe. For example, a mapping relationship between the high-temperature corrosion data of the heated surface pipe and the apparent corrosion influence factors is set in the dynamic monitoring database. The apparent corrosion influence factors corresponding to the real-time high-temperature corrosion data of the heated surface pipe can be matched through the pre-set mapping relationship. By matching the high-temperature corrosion data of the heated surface pipe with the pre-set mapping relationship, the apparent corrosion influence factors corresponding to the unit average pipe wall temperature, the unit average corrosive gas concentration, and the historical corrosion coverage ratio are obtained.

[0079] In this implementation scheme, the average wall temperature of the heated surface tube, the average concentration of corrosive gases, and the historical corrosion coverage ratio are correlated and do not exist independently. For example, the average wall temperature directly affects the kinetic rate of the corrosion reaction and is the thermodynamic driving force of the corrosion process; the average concentration of corrosive gases provides the chemical driving force for the reaction of active substances such as chlorine and sulfur with the tube wall metal, and its magnitude directly determines the potential intensity of the corrosion reaction; while the historical corrosion coverage ratio characterizes the degree of accumulation and expansion of corrosion in space and reflects the comprehensive effect of the previous corrosion driving forces. These three factors are interconnected. High-temperature environments exacerbate the erosion rate of corrosive gases on the pipe wall, while active corrosion reactions promote the formation and adhesion of corrosion products, thereby expanding the corrosion coverage area. Conversely, existing corrosion coverage areas may affect the local temperature distribution due to changes in the thermal resistance of the product layer, and the subsequent gas corrosion process may be affected by changes in surface chemical properties. Comprehensive analysis yields the apparent corrosion characteristic values ​​of the heated surface pipe, which can quantitatively assess the macroscopic corrosion severity state of the heated surface pipe in terms of thermodynamic conditions, chemical environment, and historical accumulation. This helps to provide a stable and reliable corrosion background benchmark value for subsequent fusion of high-frequency micro-oscillation mode signals, improving the accuracy of the final comprehensive risk assessment and the predictability of the early warning.

[0080] Specifically, the method for fusing and correlating the apparent corrosion characteristic values ​​of the heated surface tube, the oscillation mode data of the sensitive characteristic bands, and the corrosion influence types is as follows: based on the corrosion influence types of the sensitive characteristic bands, the number of sensitive characteristic bands corresponding to each corrosion influence type within a preset time window is counted.

[0081] Based on the number of sensitive characteristic bands corresponding to each type of corrosion influence within a preset time window, the synergistic risk amplification coefficient of the heated surface tube is obtained by matching from a preset multi-corrosion synergistic effect coefficient table.

[0082] It should be added that the synergistic risk amplification coefficient of the heated surface tube is obtained from the preset multi-corrosion synergistic effect coefficient table. Specifically, based on the number of sensitive characteristic bands corresponding to each corrosion influence type within a preset time window obtained statistically, a corrosion type combination status identifier for the current preset time window is constructed. This corrosion type combination status identifier explicitly lists all corrosion influence types with a quantity greater than zero. Subsequently, this corrosion type combination status identifier is used as the query key to perform a precise search in the preset multi-corrosion synergistic effect coefficient table. The preset multi-corrosion synergistic effect coefficient table is a predefined and stored database table, whose record structure is as follows: The system includes a "Corrosion Impact Type Combination" field and a corresponding "Synergistic Risk Amplification Coefficient" field. When a query is performed, if a record is found in the table that perfectly matches the current corrosion type combination status identifier, the value of the synergistic risk amplification coefficient field in that record is directly read and used as the synergistic risk amplification coefficient for the heated surface tube. If no perfectly matching record is found, the system executes the default rule, setting the synergistic risk amplification coefficient for the heated surface tube to a default value of 1.0. The content of the preset multi-corrosion synergistic effect coefficient table is predetermined by those skilled in the art through analysis of corrosion acceleration cases under coexisting conditions of different corrosion mechanisms during the boiler's historical operation.

[0083] The corrosion impact types of all sensitive characteristic bands within the preset time window are statistically analyzed and denoted as the corrosion impact type set of the heated surface tube.

[0084] The average value of the instantaneous amplitude sequence of the effective common-mode oscillation within the preset time window is recorded as the reference value of the oscillation mode intensity of the sensitive characteristic band.

[0085] The average value of the instantaneous frequency sequence of the effective common-mode oscillation within the preset time window is recorded as the reference value of the oscillation frequency of the sensitive characteristic band.

[0086] By comprehensively analyzing the benchmark values ​​of the oscillation mode intensity and the benchmark values ​​of the oscillation frequency of the sensitive characteristic band, a risk assessment value of the oscillation mode of the sensitive characteristic band is obtained. The risk assessment value of the oscillation mode of the sensitive characteristic band is used to characterize the quantitative result of the combined effect of the benchmark values ​​of the oscillation mode intensity and the benchmark values ​​of the oscillation frequency of the sensitive characteristic band on the severity of corrosion activity.

[0087] In this embodiment, the oscillation mode risk assessment value of the sensitive characteristic band can be obtained through the following analysis method, with the specific analysis conditions as follows: ; In the formula, This represents the risk assessment value of the oscillation modes in the sensitive characteristic band. This represents the reference value for the intensity of the oscillation modes in the sensitive characteristic band. This represents the oscillation risk assessment factor corresponding to the set benchmark value of unit oscillation mode intensity. The reference value for the oscillation frequency of the sensitive characteristic band. This represents the oscillation risk assessment factor corresponding to the set unit oscillation frequency benchmark value.

[0088] It should be added that, in this embodiment, the preset oscillation risk assessment factor corresponding to the unit oscillation mode intensity benchmark value and the oscillation risk assessment factor corresponding to the unit oscillation frequency benchmark value are obtained from the dynamic monitoring database. The oscillation risk assessment factors corresponding to the unit oscillation mode intensity benchmark value and the unit oscillation frequency benchmark value are used to adjust the importance of the oscillation mode intensity benchmark value and the oscillation frequency benchmark value of the sensitive characteristic band in the process of analyzing and obtaining the oscillation mode risk assessment value.

[0089] In this implementation scheme, the reference values ​​for the intensity and frequency of the oscillation modes in the sensitive characteristic bands are correlated and not independent. For example, the reference value for the intensity of the oscillation modes directly characterizes the microscopic processes at the corrosion interface, such as the average magnitude of energy released or modulated by mass transport and reaction generation, reflecting the intensity of the activity. The reference value for the frequency of the oscillations, on the other hand, reflects the characteristic timescale or rhythm of the microscopic process, reflecting the rate of the activity. A violent corrosion precursor process often exhibits high oscillation energy near its characteristic frequency. That is, the intensity reference value and the frequency reference value together lock in a high-risk dynamic mode. The comprehensive analysis yields the risk assessment value of the oscillation modes in the sensitive characteristic bands, which can quantitatively assess the overall activity level and danger of the corrosion phase transition precursor state characterized by the common mode oscillation. This helps to transform the abstract spectral signal into a unified risk metric that can be integrated with the macroscopic corrosion reference, providing key input for the final realization of early warning.

[0090] Based on the apparent corrosion characteristic values ​​of the heated surface tube, the apparent corrosion influence factor of the heated surface tube is obtained. The apparent corrosion characteristic values ​​of the heated surface tube are matched with the apparent corrosion influence factors corresponding to each apparent corrosion characteristic value stored in the dynamic monitoring database. The apparent corrosion influence factor corresponding to the apparent corrosion characteristic value is queried and obtained, and recorded as the apparent corrosion influence factor of the heated surface tube. The larger the apparent corrosion characteristic value of the heated surface tube, the more severe the corrosion condition, and the larger the matched apparent corrosion influence factor.

[0091] The average value of the oscillation mode risk assessment values ​​for all sensitive characteristic bands is taken to obtain the oscillation mode risk characteristic value of the heated surface tube.

[0092] The product of the synergistic risk amplification coefficient, the oscillation mode risk characteristic value, and the apparent corrosion influence factor of the heated surface tube is denoted as the high-temperature corrosion risk assessment value of the heated surface tube. The high-temperature corrosion risk assessment value of the heated surface tube is used to characterize the quantitative result of the synergistic risk amplification coefficient, the oscillation mode risk characteristic value, and the apparent corrosion influence factor of the heated surface tube on the degree of rapid melting risk of the heated surface tube.

[0093] Specifically, the method for analyzing and obtaining the high-temperature corrosion risk information of the heated surface tube is as follows: the high-temperature corrosion risk information of the heated surface tube includes severe risk, early warning risk, and no risk.

[0094] The high-temperature corrosion risk assessment value of the heated surface tube is compared with the preset first high-temperature corrosion risk assessment threshold. If the high-temperature corrosion risk assessment value of the heated surface tube is higher than or equal to the preset first high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk information of the heated surface tube is marked as a serious risk, and the first high-temperature corrosion risk assessment threshold is greater than the second high-temperature corrosion risk assessment threshold.

[0095] If the high-temperature corrosion risk assessment value of the heated surface tube is lower than the preset first high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk assessment value of the heated surface tube is compared with the preset second high-temperature corrosion risk assessment threshold. If the high-temperature corrosion risk assessment value of the heated surface tube is higher than or equal to the preset second high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk information of the heated surface tube is marked as a warning risk.

[0096] If the high-temperature corrosion risk assessment value of the heated surface tube is lower than the preset second high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk information of the heated surface tube will be marked as no risk.

[0097] Specifically, the method for dynamic monitoring and risk warning by combining the high-temperature corrosion risk information and corrosion impact type set of the heated surface tube is as follows: extract the high-temperature corrosion risk information of the heated surface tube. If the high-temperature corrosion risk information of the heated surface tube is a serious risk, then send the serious high-temperature corrosion risk information and corrosion impact type set of the heated surface tube to the mobile terminal of the staff for display. The serious high-temperature corrosion risk information and corrosion impact type set of the heated surface tube includes the time of occurrence of the serious high-temperature corrosion risk event of the heated surface tube, the number or area code of the heated surface tube, and the corrosion impact type set, such as chlorine-sulfur synergistic type.

[0098] If the high-temperature corrosion risk information of the heated surface tube is a warning risk, the warning high-temperature corrosion risk information and the set of corrosion impact types of the heated surface tube will be sent to the staff's mobile terminal for display. If the high-temperature corrosion risk information of the heated surface tube is no risk, no information needs to be sent. The warning high-temperature corrosion risk information and the set of corrosion impact types of the heated surface tube include the time of occurrence of the warning high-temperature corrosion risk event of the heated surface tube, the number or area code of the heated surface tube, and the set of corrosion impact types.

[0099] The second aspect of the present invention provides a dynamic monitoring system for high-temperature corrosion of heated surface tubes in a waste incineration boiler, comprising: a data acquisition module for acquiring multi-band radiation signal data and high-temperature corrosion data of heated surface tubes in the waste incineration boiler during operation.

[0100] The fluctuation analysis module is used to perform operational fluctuation analysis on the multi-band radiation signal data of the heated surface tube, obtain the dynamic fluctuation index values ​​of each band of the heated surface tube, and determine the sensitive characteristic bands and corrosion influence types of the sensitive characteristic bands based on the dynamic fluctuation index values ​​of each band of the heated surface tube.

[0101] The mode decomposition module is used to perform mode decomposition processing on multi-band radiation signal data of sensitive characteristic bands to obtain oscillation mode data of sensitive characteristic bands. Based on the high-temperature corrosion data of the heated surface tube, the module processes the data to obtain the apparent corrosion characteristic values ​​of the heated surface tube.

[0102] The risk assessment module is used to fuse and correlate the apparent corrosion characteristic values, oscillation mode data of sensitive characteristic bands, and corrosion impact types of the heated surface tube to obtain the high-temperature corrosion risk assessment value and corrosion impact type set of the heated surface tube.

[0103] The risk warning module is used to analyze the high-temperature corrosion risk information of the heated surface tube based on the high-temperature corrosion risk assessment value, and to perform dynamic monitoring and risk warning by combining the high-temperature corrosion risk information of the heated surface tube with the set of corrosion impact types.

[0104] It should be noted that the dynamic monitoring method and system for high-temperature corrosion of heated surface tubes in waste incineration boilers also includes a dynamic monitoring database, which stores the first parameter set, the second parameter set, the third parameter set, and the fourth parameter set obtained by analyzing historical data.

[0105] The first parameter set includes reference values ​​for radiation intensity of each band of the heated surface tube, dynamic fluctuation influence factors corresponding to radiation intensity per unit band, dynamic fluctuation influence factors corresponding to radiation intensity change rate, dynamic fluctuation influence factors corresponding to radiation signal fluctuation frequency per unit band, band dynamic fluctuation index threshold, preset number, and band-corrosion type mapping knowledge base.

[0106] The second parameter set includes the characteristic frequency range of the physical process, the correlation coefficient threshold, the apparent corrosion influence factor corresponding to the average unit pipe wall temperature, the apparent corrosion influence factor corresponding to the average unit corrosive gas concentration, and the apparent corrosion influence factor corresponding to the historical corrosion coverage ratio.

[0107] The third parameter set includes a multi-corrosion synergistic effect coefficient table, an oscillation risk assessment factor corresponding to the unit oscillation mode intensity benchmark value, an oscillation risk assessment factor corresponding to the unit oscillation frequency benchmark value, and an apparent corrosion influence factor corresponding to each apparent corrosion characteristic value.

[0108] The fourth parameter set includes the first high-temperature corrosion risk assessment threshold and the second high-temperature corrosion risk assessment threshold.

[0109] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0110] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention.

Claims

1. A method for dynamic monitoring of high-temperature corrosion of heating surface tubes in waste incineration boilers, characterized in that, include: During the operation of the waste incineration boiler, multi-band radiation signal data and high-temperature corrosion data of the heated surface tubes in the waste incineration boiler are collected. Operational fluctuation analysis was performed on the multi-band radiation signal data of the heated surface tube to obtain the dynamic fluctuation index values ​​of each band of the heated surface tube. Based on the dynamic fluctuation index values ​​of each band of the heated surface tube, the sensitive characteristic bands of the heated surface tube and the corrosion influence types of the sensitive characteristic bands were identified. Mode decomposition processing is performed on the multi-band radiation signal data of the sensitive characteristic band to obtain the oscillation mode data of the sensitive characteristic band. Based on the high-temperature corrosion data of the heated surface tube, the apparent corrosion characteristic value of the heated surface tube is obtained. By fusing and correlating the apparent corrosion characteristic values, oscillation mode data of sensitive characteristic bands, and corrosion impact types of the heated surface tube, the high-temperature corrosion risk assessment value and corrosion impact type set of the heated surface tube are obtained. Based on the high-temperature corrosion risk assessment value of the heated surface tube, the high-temperature corrosion risk information of the heated surface tube is analyzed, and dynamic monitoring and risk warning are carried out by combining the high-temperature corrosion risk information of the heated surface tube and the set of corrosion impact types.

2. The method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler according to claim 1, characterized in that, The method for collecting multi-band radiation signal data and high-temperature corrosion data of the heated surface tubes in a waste incineration boiler is as follows: During the operation of the waste incineration boiler, the radiation intensity and high-temperature corrosion data of the corresponding heating surface tubes of the waste incineration boiler are synchronously acquired through the boiler operation data interface. The collected radiation intensity of each band of the heated surface tube is processed in a continuous segment according to a preset time window to obtain the radiation intensity of each band of the heated surface tube within the preset time window. The radiation intensity of each band of the heated surface tube is traversed within the preset time window. The maximum and minimum values ​​of the radiation intensity of each band are extracted. The difference between the maximum and minimum values ​​of the radiation intensity of each band is divided by the average value of the maximum and minimum values ​​of the radiation intensity of each band to obtain the rate of change of the radiation intensity of each band of the heated surface tube. The average radiation intensity of each band of the heated surface tube within the preset time window is obtained by statistical analysis. The radiation intensity of each band of the heated surface tube is traversed, and the number of times the radiation intensity of each band of the heated surface tube is greater than the average value of the radiation intensity of each band is counted. This number is recorded as the frequency of radiation signal fluctuation of each band of the heated surface tube. The radiation intensity of each band, the rate of change of radiation intensity of each band, and the frequency of radiation signal fluctuation of each band of the heated surface tube are encapsulated into multi-band radiation signal data of the heated surface tube. The high-temperature corrosion data for the heated surface tubes include the average tube wall temperature, the average concentration of corrosive gases, and the historical corrosion coverage ratio.

3. The method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler according to claim 2, characterized in that, The method for analyzing the operational fluctuations of multi-band radiation signal data from heated surface tubes is as follows: The multi-band radiation signal data of the heated surface tube within a preset time window are fused and weighted to obtain the dynamic fluctuation index value of each band of the heated surface tube. The dynamic fluctuation index value of each band of the heated surface tube is used to characterize the quantification result of the multi-band radiation signal data of the heated surface tube on the degree of abnormal fluctuation of each band.

4. The method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler according to claim 3, characterized in that, The method for determining the sensitive characteristic band and the corrosion influence type of the sensitive characteristic band of the heated surface tube is as follows: Extract the dynamic fluctuation index values ​​of each band of the heated surface tube within a preset time window, compare the dynamic fluctuation index values ​​of each band of the heated surface tube within the preset time window with the preset dynamic fluctuation index threshold. If the dynamic fluctuation index values ​​of each band of the heated surface tube within the corresponding preset time window are higher than or equal to the preset dynamic fluctuation index threshold, then mark the corresponding band as the sensitive characteristic band of the heated surface tube; otherwise, do not mark it. Meanwhile, the dynamic fluctuation index values ​​of each band of the heated surface tube within the preset time window are sorted from high to low, and the bands corresponding to the highest preset number of dynamic fluctuation index values ​​in each band are recorded as the sensitive characteristic bands of the heated surface tube. Based on the sensitive characteristic bands of the heated surface tube, the corrosion influence type of the sensitive characteristic bands is obtained by matching from the preset band-corrosion type mapping knowledge base.

5. The method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler according to claim 1, characterized in that, The method for performing mode decomposition processing on multi-band radiation signal data of sensitive characteristic bands is as follows: The radiation intensity of each band of all sensitive characteristic bands identified within a preset time window is arranged in a preset band order to construct a multi-channel time series signal. Multivariate empirical mode decomposition is performed on the multi-channel time series signal to iteratively decompose the multi-channel time series signal into multivariate intrinsic mode function components arranged from high frequency to low frequency. Among all the multivariable intrinsic mode function components obtained by decomposition, the multivariable intrinsic mode function components that meet the following two conditions are selected as candidate oscillation modes for sensitive characteristic bands: First, the center frequency of the multivariable intrinsic mode function component is located within the preset physical process characteristic frequency range. Second, the average correlation coefficient of the oscillation waveforms of the multivariable intrinsic mode function components in all sensitive characteristic band channels is greater than the preset correlation coefficient threshold. From all candidate oscillation modes in the sensitive characteristic band, the candidate oscillation mode with the highest average correlation coefficient of the oscillation waveform in the sensitive characteristic band channel is selected and denoted as the effective common-mode oscillation mode of the sensitive characteristic band. The instantaneous amplitude sequence and instantaneous frequency sequence of the effective common-mode oscillation mode are recorded within a preset time window. The instantaneous amplitude sequence and instantaneous frequency sequence of the effective common-mode oscillation mode together constitute the oscillation mode data of the sensitive characteristic band.

6. The method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler according to claim 2, characterized in that, The method for obtaining the apparent corrosion characteristic values ​​of the heated surface tube is as follows: Based on the high-temperature corrosion data of the heated surface tube, the apparent corrosion characteristic value of the heated surface tube is obtained. The apparent corrosion characteristic value of the heated surface tube is used to characterize the quantitative result of the high-temperature corrosion data of the heated surface tube on the corrosion severity of the heated surface tube.

7. The method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler according to claim 1, characterized in that, The method for fusing and correlating the apparent corrosion characteristic values, oscillation mode data of sensitive characteristic bands, and corrosion influence types of the heated surface tube is as follows: Based on the corrosion impact type of the sensitive characteristic bands, count the number of sensitive characteristic bands corresponding to each corrosion impact type within the preset time window; Based on the number of sensitive characteristic bands corresponding to each type of corrosion influence within a preset time window, the synergistic risk amplification coefficient of the heated surface tube is obtained by matching from the preset multi-corrosion synergistic effect coefficient table. The corrosion impact types of all sensitive characteristic bands within the preset time window are statistically analyzed and denoted as the corrosion impact type set of the heated surface tube; The average value of the instantaneous amplitude sequence of the effective common-mode oscillation within the preset time window is recorded as the reference value of the oscillation mode intensity of the sensitive characteristic band. The average value of the instantaneous frequency sequence of the effective common-mode oscillation within the preset time window is recorded as the reference value of the oscillation frequency of the sensitive characteristic band. By comprehensively analyzing the benchmark values ​​of the oscillation mode intensity and the benchmark values ​​of the oscillation frequency of the sensitive characteristic band, the risk assessment value of the oscillation mode of the sensitive characteristic band is obtained. The risk assessment value of the oscillation mode of the sensitive characteristic band is used to characterize the quantitative result of the combined effect of the benchmark values ​​of the oscillation mode intensity and the benchmark values ​​of the oscillation frequency of the sensitive characteristic band on the severity of corrosion activity. Based on the apparent corrosion characteristic values ​​of the heated surface tube, the apparent corrosion influencing factor of the heated surface tube is obtained. The average value of the oscillation mode risk assessment values ​​for all sensitive characteristic bands is taken to obtain the oscillation mode risk characteristic value of the heated surface tube; The product of the synergistic risk amplification coefficient, the oscillation mode risk characteristic value, and the apparent corrosion influence factor of the heated surface tube is denoted as the high-temperature corrosion risk assessment value of the heated surface tube. The high-temperature corrosion risk assessment value of the heated surface tube is used to characterize the quantitative result of the synergistic risk amplification coefficient, the oscillation mode risk characteristic value, and the apparent corrosion influence factor of the heated surface tube on the degree of rapid melting risk of the heated surface tube.

8. The method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler according to claim 7, characterized in that, The method for obtaining high-temperature corrosion risk information of the heated surface tube is as follows: The high-temperature corrosion risk information for the heated surface tube includes severe risk, early warning risk, and no risk; The high-temperature corrosion risk assessment value of the heated surface tube is compared with the preset first high-temperature corrosion risk assessment threshold. If the high-temperature corrosion risk assessment value of the heated surface tube is higher than or equal to the preset first high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk information of the heated surface tube is marked as a serious risk. If the high temperature corrosion risk assessment value of the heated surface tube is lower than the preset first high temperature corrosion risk assessment threshold, the high temperature corrosion risk assessment value of the heated surface tube is compared with the preset second high temperature corrosion risk assessment threshold. If the high temperature corrosion risk assessment value of the heated surface tube is higher than or equal to the preset second high temperature corrosion risk assessment threshold, the high temperature corrosion risk information of the heated surface tube is marked as a warning risk. If the high-temperature corrosion risk assessment value of the heated surface tube is lower than the preset second high-temperature corrosion risk assessment threshold, the high-temperature corrosion risk information of the heated surface tube will be marked as no risk.

9. The method for dynamic monitoring of high-temperature corrosion of heating surface tubes in a waste incineration boiler according to claim 8, characterized in that, The method for dynamic monitoring and risk warning by combining high-temperature corrosion risk information and corrosion impact type set of heated surface tubes is as follows: Extract the high-temperature corrosion risk information of the heated surface tube. If the high-temperature corrosion risk information of the heated surface tube is a serious risk, send the serious high-temperature corrosion risk information and corrosion impact type set of the heated surface tube to the staff's mobile terminal for display. If the high-temperature corrosion risk information of the heated surface tube is a warning risk, the warning high-temperature corrosion risk information and the set of corrosion impact types of the heated surface tube will be sent to the staff's mobile terminal for display. If the high-temperature corrosion risk information of the heated surface tube is no risk, no information needs to be sent.

10. A dynamic monitoring system for high-temperature corrosion of heating surface tubes in a waste incineration boiler, characterized in that, include: The data acquisition module is used to collect multi-band radiation signal data and high-temperature corrosion data of the heated surface tubes in the waste incineration boiler during operation. The fluctuation analysis module is used to perform operational fluctuation analysis on the multi-band radiation signal data of the heated surface tube, obtain the dynamic fluctuation index values ​​of each band of the heated surface tube, and determine the sensitive characteristic bands of the heated surface tube and the corrosion influence type of the sensitive characteristic bands based on the dynamic fluctuation index values ​​of each band of the heated surface tube. The mode decomposition module is used to perform mode decomposition processing on multi-band radiation signal data of sensitive characteristic bands to obtain oscillation mode data of sensitive characteristic bands. Based on the high-temperature corrosion data of the heated surface tube, the module processes the data to obtain the apparent corrosion characteristic value of the heated surface tube. The risk assessment module is used to fuse and correlate the apparent corrosion characteristic values, oscillation mode data of sensitive characteristic bands and corrosion impact types of the heated surface tube to obtain the high-temperature corrosion risk assessment value and corrosion impact type set of the heated surface tube. The risk warning module is used to analyze the high-temperature corrosion risk information of the heated surface tube based on the high-temperature corrosion risk assessment value, and to perform dynamic monitoring and risk warning by combining the high-temperature corrosion risk information of the heated surface tube with the set of corrosion impact types.

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