Oxide skin magnetism and optical monitoring method, system, equipment and medium

Abstract

The invention relates to the technical field of oxide skin monitoring, in particular to an oxide skin magnetism and optical monitoring method, system and device and a medium, and the method comprises the steps: collecting first data in real time through a magnetic sensor array; acquiring second data through the optical sensor array; performing calculation and analysis based on the first data and the second data, and outputting a prediction result; and triggering a corresponding response measure according to a prediction result. The method has the beneficial effects that intelligent health diagnosis is provided for safe operation of the boiler, pipe explosion accidents caused by oxide skin falling are effectively prevented, stable operation of a unit is guaranteed, the equipment maintenance cost is reduced, and the overall operation benefit is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oxide scale monitoring, and in particular to an oxide scale magnetic and optical monitoring method, system, equipment and medium. Background Art

[0002] Currently, monitoring the oxide scale on the heating surfaces of boilers, a critical piece of equipment in the power industry, primarily relies on traditional sampling and analysis methods and some non-contact monitoring systems. Sampling and analysis methods regularly collect samples from the boiler's heating surfaces and analyze the oxide scale's thickness, composition, and other characteristics using laboratory equipment. Non-contact monitoring systems, on the other hand, often utilize ultrasonic and radiographic technologies to achieve online monitoring of oxide scale on boiler heating surfaces.

[0003] However, existing monitoring technologies suffer from a lack of multi-physics field monitoring, a conflict between real-time performance and accuracy, and a lack of risk warning mechanisms. Specifically, they cannot simultaneously capture the magnetic and optical properties of the oxide scale, leading to separate assessments. Ultrasonic and X-ray techniques have low sampling frequencies and large errors, making them incapable of capturing rapid shedding processes. Furthermore, they only provide single-source data, lacking multi-source quantitative assessment and early warning measures. These issues severely hinder the safe and economical operation of boilers. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0005] In a first aspect, the present invention provides a method for magnetic and optical monitoring of oxide scale, comprising collecting first data in real time by a magnetic sensor array;

[0006] acquiring second data through the optical sensor array;

[0007] Performing calculation and analysis based on the first data and the second data, and outputting a prediction result;

[0008] Based on the prediction results, corresponding response measures are triggered.

[0009] As a preferred embodiment of the oxide scale magnetic and optical monitoring method of the present invention, wherein: first data is collected in real time by a magnetic sensor array, including:

[0010] The magnetic sensor array is arranged at the first key position of the boiler heating surface;

[0011] The original magnetic field strength and magnetic field gradient are obtained through the magnetic sensor array, and the integrated Hall sensor provides a temperature compensation signal.

[0012] As a preferred embodiment of the oxide scale magnetic and optical monitoring method of the present invention, the second data is obtained by the optical sensor array, including:

[0013] placing the optical sensor array at a second key position;

[0014] emitting light of a target wavelength through a first device and measuring reflectivity R3 and R5;

[0015] Extracting the Fe3O4 / Fe2O3 component peak height ratio by a second device;

[0016] The surface topography index is calculated by a third device.

[0017] As a preferred embodiment of the oxide scale magnetic and optical monitoring method of the present invention, wherein: calculation and analysis are performed based on the first data and the second data, and a prediction result is output, including:

[0018] Preprocessing the first data and the second data to obtain target data;

[0019] Calculate oxide scale thickness based on target data;

[0020] A risk index is calculated based on the thickness of the oxide scale.

[0021] As a preferred embodiment of the method for magnetic and optical monitoring of oxide scale of the present invention, the method further comprises:

[0022] Predict the growth rate of oxide scale based on target data and output target prediction results;

[0023] When the target prediction result is less than the preset threshold, a pipe section replacement instruction is generated.

[0024] As a preferred embodiment of the oxide scale magnetic and optical monitoring method of the present invention, the first key positions include the reheater elbow, the fire side of the water wall, and the root and top of the platen superheater fin;

[0025] The second key position includes the back-fire side of the water-cooled wall, the gap between the superheater tube bundles and the economizer outlet shaft.

[0026] As a preferred solution of the oxide scale magnetic and optical monitoring method of the present invention, the first device is a dual-wavelength infrared reflectometer; the second device is a laser-induced breakdown spectrometer; and the third device is a rotary scanning microscopic imaging unit.

[0027] In a second aspect, the present invention provides an oxide scale magnetic and optical monitoring system, comprising: a first acquisition module for acquiring first data in real time through a magnetic sensor array;

[0028] A second acquisition module, configured to acquire second data through an optical sensor array;

[0029] An output module, configured to perform calculation and analysis based on the first data and the second data, and output a prediction result;

[0030] The response module is used to trigger corresponding response measures based on the prediction results.

[0031] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0032] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when the computer program is executed by a processor.

[0033] Compared with existing technologies, the present invention has the following beneficial effects: by understanding the distribution patterns of the magnetic and optical properties of the oxide scale on the boiler's heating surface, the present invention integrates the monitoring data of magnetic and optical sensors to construct a dynamic model, achieving high-precision, real-time measurement of oxide scale thickness and composition; determining the safe threshold for oxide scale growth, achieving automatic warning of over-limit; through real-time monitoring and analysis of the oxide scale growth rate, dynamically evaluating its growth kinetic parameters, and providing early warning of the risk of abnormal accelerated growth; and based on a multi-physics field coupling model and damage prediction algorithm, accurately predicting the remaining life of key boiler components. In other words, this method provides intelligent health diagnosis for the safe operation of the boiler, effectively preventing pipe burst accidents caused by oxide scale shedding, ensuring stable operation of the unit, reducing equipment maintenance costs, and improving overall operational efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 Schematic diagram of the process of magnetic and optical monitoring methods for oxide scale. DETAILED DESCRIPTION

[0036] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0037] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a method for magnetic and optical monitoring of oxide scale, comprising:

[0038] S100: collecting first data in real time through a magnetic sensor array;

[0039] S200: Acquire second data through the optical sensor array;

[0040] S300: Perform calculation and analysis based on the first data and the second data, and output a prediction result;

[0041] S400: triggering corresponding response measures based on the prediction results.

[0042] It should be noted that the growth and shedding process of oxide scale on the heating surface of the boiler is relatively complex. During boiler operation, parameters such as the temperature, pressure, and flue gas composition of the heating surface are constantly changing, causing the thickness and composition of the oxide scale to also change dynamically. At the same time, the shedding of oxide scale is not only related to the thickness, but also closely related to the composition, structure, and stress state of the heating surface. In addition, the high temperature, high pressure, and dusty environment inside the boiler have a significant impact on the performance and measurement accuracy of the sensor, increasing the difficulty of monitoring. Traditional monitoring methods can often only provide limited information, making it difficult to meet the needs of real-time and accurate monitoring of the oxide scale status, and are unable to provide effective early warning of the risk of oxide scale shedding.

[0043] Therefore, to address the aforementioned monitoring challenges, steps S100-S400 enable simultaneous monitoring of the magnetic and optical properties of the oxide scale on the boiler's heating surface. Specifically, the magnetic and optical sensor arrays acquire data on the oxide scale from different dimensions. After computational analysis, these data accurately reflect the current state of the oxide scale and predict its growth trends and risk of shedding, providing comprehensive monitoring support for the boiler's safe operation. Based on this, timely triggering of appropriate response measures based on the prediction results can effectively prevent failures caused by oxide scale shedding, reduce maintenance costs and downtime, and improve the safety and economic efficiency of boiler operation.

[0044] Example 2, reference Figure 1 , which is an embodiment of the present invention, provides a method for magnetic and optical monitoring of oxide scale based on the above embodiments.

[0045] In the embodiment of the present application, the first data is collected in real time by the magnetic sensor array in step S100, including the following steps A1-A2:

[0046] A1: Place the magnetic sensor array at the first key position of the boiler heating surface, where the first key position includes the reheater elbow, the fire side of the water wall, and the root and top of the platen superheater fin;

[0047] A2: The original magnetic field strength and magnetic field gradient are obtained through the magnetic sensor array, and the Hall sensor is integrated to provide a temperature compensation signal.

[0048] Specifically, in step A1, TMR sensors (ceramic package) are arranged at the superheater / reheater elbow with an outer arc surface of 30° intervals (12 groups / 360°); a differential GMR array is arranged on the fire side of the water-cooled wall with a grid topology of 4 / ㎡; TMR sensors and Hall sensors are arranged at the root and top of the platen superheater fins (spacing ≤5cm); further, the GMR array is arranged at the economizer inlet header with a symmetrical arrangement of 10cm upstream and downstream of the weld.

[0049] It should be noted that the superheater / reheater elbow is a stress concentration area, and the oxide scale is prone to cracking and falling off (high-risk monitoring point); on the fire side of the water-cooled wall: the flame radiates directly, and the oxide scale grows quickly (up to three times that of the back-fire side); the screen superheater fins are structurally weak points, and the accumulation of oxide scale can easily lead to overheating and tube bursting, while the economizer inlet manifold is a complex damage area of ​​low-temperature corrosion and oxide scale, so the above-mentioned key positions need to be monitored closely.

[0050] In step A2, the magnetic field distortion caused by the ferromagnetism of the oxide scale Fe3O4 (the original magnetic field strength B raw ), the differential GMR array calculates the oxide thickness (ΔB / Δx) by the magnetic field gradient change of adjacent probes, and the Hall sensor outputs a compensation signal (T c ).

[0051] The specific expression of the magnetic field gradient ΔB is:

[0052]

[0053] In an optional embodiment, the real-time collection of the first data by the magnetic sensor array in step S100 can also be carried out by placing high-precision fluxgate sensors at the boiler cold water wall and superheater to measure the absolute magnetic field strength and capture the magnetic field phase offset angle.

[0054] In another optional embodiment, the real-time collection of the first data by the magnetic sensor array in step S100 can also be carried out by deploying a liquid nitrogen-cooled SQUID sensor outside the boiler in a non-contact manner to obtain a three-dimensional magnetic flux distribution map and detect the magnetic domain reversal signal of deep oxide scale (>5mm).

[0055] In the embodiment of the present application, acquiring the second data by the optical sensor array in step S200 includes the following steps B1-B4:

[0056] B1: The optical sensor array is set at the second key position, where the second key position includes the back-fire side of the water wall, the gap between the superheater tube bundle and the economizer outlet shaft;

[0057] B2: emitting light of the target wavelength through a first device to measure reflectivity R3 and R5, wherein the first device is a dual-wavelength infrared reflectometer;

[0058] It can be understood that the target wavelengths are 3 μm and 5 μm, the sampling rate is 10 Hz, and the target wavelength light is emitted by the dual-wavelength infrared reflectometer to detect the oxide scale thickness.

[0059] B3: extracting the peak height ratio of Fe3O4 / Fe2O3 components by a second device, wherein the second device is a laser induced breakdown spectrometer;

[0060] It is understood that laser-induced breakdown spectroscopy is used to detect the composition of the oxide scale (Fe3O4 / Fe2O3).

[0061] B4: Calculating the surface topography index by a third device, wherein the third device is a rotation scanning microscopic imaging unit.

[0062] It is understood that the rotary scanning microscopic imaging unit (CCD microscopic imaging unit) is used to detect surface topography and microcracks.

[0063] Specifically, in step B1, a linear array is used on the back-fire side of the water-cooled wall to arrange dual-wavelength infrared reflectometers and CCD microscopic imaging units at intervals, with one CCD microscopic imaging unit for every three dual-wavelength infrared reflectometers; a cross grid array is used to deploy dual-wavelength infrared reflectometers in the gaps between the superheater tube bundles (probes are inserted into the gaps between the tubes so that the laser transmitting and receiving ends form a 30° angle); a rotating scanning array is used in the economizer outlet shaft to deploy dual-wavelength infrared reflectometers and laser-induced breakdown spectrometers.

[0064] In step B2, the wavelengths of 3μm and 5μm are selected due to the sensitivity to the oxide scale composition (Fe3O4 / Fe2O3). The specific form of reflectivity calculation is:

[0065] R=I / I o

[0066] Where: R represents reflectivity; I represents the incident light intensity; I o Indicates the intensity of emitted light.

[0067] Furthermore, when the ratio R3 / R5 of the reflectivity at the two wavelengths is calculated, when the ratio is greater than 1.5, it is determined that Fe3O4 dominates the oxide scale; when the ratio is less than 0.8, it is determined that Fe2O3 dominates the oxide scale.

[0068] In step B3, since materials with specific components will show obvious absorption peaks at specific wavenumber positions in the infrared spectrum, when infrared light is irradiated on Fe3O4, it will cause the absorption peak at 710cm-1 There is an absorption peak at the wavenumber position, and when infrared light is irradiated on Fe2O3, it will cause an absorption peak at 590cm -1 There is an absorption peak at the wavenumber position, so by comparing 710cm -1 The absorption peak height at (H710) and 590cm -1 The absorption peak height at (H590) is used to calculate the peak height ratio P r (H710 / H590), the relative content of Fe3O4 in the oxide scale can be determined. r When the peak height ratio (H710 / H590) is greater than 1.5, it is determined that Fe3O4 dominates the oxide scale; when the peak height ratio (H710 / H590) is less than 0.8, it is determined that Fe2O3 dominates the oxide scale.

[0069] In step B4, the specific form of calculating the surface topography index is:

[0070]

[0071] Where: S i is the surface topography index; σ is the standard deviation of image grayscale; μ is the mean grayscale value of the image.

[0072] In an optional embodiment, the second data obtained by the optical sensor array in step S200 can also be obtained by using a 532nm laser to excite Raman scattering, that is, a confocal microprobe (resolution 1μm) is deployed in the key area, and the optical signal is transmitted to the central analyzer through the optical fiber matrix to identify the characteristic peak of Fe3O4 (668cm -1 ) and Fe2O3 characteristic peak (610cm -1 ) and generate a heat map of scale composition distribution.

[0073] In another optional embodiment, the second data obtained by the optical sensor array in step S200 can also be detected by analog 0.1-10THz pulse wave detection, that is, a rotating reflector is installed in the boiler fire viewing hole to achieve 120° sector area scanning, measure the real and imaginary parts of the dielectric constant and detect microcracks inside the oxide scale (depth > 0.2mm).

[0074] In the embodiment of the present application, performing calculation and analysis based on the first data and the second data and outputting a prediction result in step S300 includes the following steps C1-C4:

[0075] C1: preprocess the first data and the second data to obtain target data;

[0076] C2: Calculate oxide scale thickness based on target data;

[0077] C3: Calculate the risk index based on the thickness of the oxide scale;

[0078] C4: Predict the growth rate of the oxide scale based on the target data and output the target prediction result. When the target prediction result is less than the preset threshold, a pipe section replacement instruction is generated.

[0079] It is understandable that the preset threshold value can be set according to actual conditions and is not limited here. In this embodiment, the preset threshold value is 1000 hours.

[0080] Specifically, in step C1, preprocessing the first data includes using a 50 Hz notch filter to eliminate grid interference, performing temperature compensation, and performing gradient calculation:

[0081] The specific manifestations of temperature compensation are:

[0082]

[0083] Where: B corr : Magnetic field strength after compensation; B raw : original magnetic field intensity; α: temperature coefficient; △T: temperature change; t: time; τ: time constant.

[0084] The formula for gradient calculation is:

[0085]

[0086] Where: ▽B: magnetic field intensity B corr gradient; Magnetic field strength B corr Partial derivative in the x-axis direction; Magnetic field strength B corr Partial derivative in the y-axis direction; Magnetic field strength B corr Partial derivative in the z-axis direction.

[0087] Preprocessing the second data includes smoke compensation, spectrum denoising and morphology enhancement;

[0088] The specific forms of smoke compensation are:

[0089]

[0090] Where: R corr : reflectivity after compensation; R is the original reflectivity; k: smoke compensation coefficient; C dust : smoke concentration; The current smoke concentration C dust Comparison with the benchmark concentration of 50 is used to normalize the impact of smoke concentration, making the calculation of the compensation coefficient k more comparable and stable.

[0091] Spectral denoising refers to the 3-layer decomposition denoising of spectral data using Haar wavelet basis function;

[0092] Image enhancement refers to the application of contrast-limited adaptive histogram equalization (CLAHE) to CCD images.

[0093] In step C2, the formula for calculating the oxide scale thickness is:

[0094]

[0095] The weight calculation formula is:

[0096]

[0097] Where: d ox : oxide scale thickness; d mag : magnetic thickness; d opt : optical thickness; ω1 and ω2 are weight coefficients; Variance of optical sensor data; Variance of magnetic sensor data.

[0098] The calculation formula of magnetic thickness is:

[0099] d mag =k1·|▽B| 0.5

[0100] Where: d mag : magnetic thickness; k1: calibration coefficient; ▽B: magnetic field gradient.

[0101] The formula for calculating optical thickness is:

[0102]

[0103] Where: d opt : optical thickness; α5: material absorption coefficient at a wavelength of 5 μm; α3: material absorption coefficient at a wavelength of 3 μm; R5: reflectivity at a wavelength of 5 μm; R3: reflectivity at a wavelength of 3 μm; C0: calibration constant.

[0104] In step C3, the specific form of risk index calculation is:

[0105]

[0106] Where: Risk Index: risk index; p r : ingredient ratio; d ox : oxide scale thickness; S i : Surface morphology index.

[0107] In step C4, the scale growth rate prediction model is specifically expressed as follows:

[0108]

[0109] Where: scale growth rate; A: pre-exponential factor; exp: natural exponential function; E a : activation energy; R: gas constant; T: absolute temperature; p r : composition ratio; ▽T: tube wall temperature gradient.

[0110] In an optional embodiment, the computational analysis based on the first and second data in step S300 may also utilize a support vector machine (SVM) algorithm to perform a fusion analysis of the magnetic and optical data. SVM is a machine learning algorithm based on statistical learning theory that effectively processes high-dimensional data and nonlinear relationships. By training the SVM model, a mapping relationship between scale thickness, composition, and risk index can be established, thereby enabling accurate assessment and prediction of scale status.

[0111] In another alternative embodiment, the computational analysis based on the first and second data in step S300 can also be performed by constructing a deep learning neural network, such as a convolutional neural network (CNN) or a long short-term memory network (LSTM), to perform a fusion analysis of the magnetic and optical data. CNNs are suitable for processing image data and can extract spatial features from optical data; LSTMs are suitable for processing time series data and can capture temporal dependencies between magnetic and optical data. By training the neural network, real-time assessment and prediction of scale conditions can be achieved.

[0112] In the embodiment of the present application, in step S400, corresponding response measures are triggered according to the prediction results, including the following steps D1-D3:

[0113] D1: The triggering conditions for the yellow warning level are: oxide scale thickness > 1.5mm or surface topography index > 0.3;

[0114] D2: The triggering conditions for the orange warning level are: risk index > 0.5 or component ratio p r <0.7;

[0115] D3: The triggering conditions for the red alarm level are: risk index > 0.8 or oxide scale thickness > 3.0mm and ▽B mutation > 20%.

[0116] Specifically, in step D1, the response to the yellow warning level is a pop-up window prompt on the center console, generating an "Oxide Scale Growth Acceleration Report";

[0117] In step D2, the response to the orange warning level is to activate the sound and light alarm, push the maintenance work order to the mobile terminal, and automatically reduce the boiler load by 5%;

[0118] In step D3, the response measures for the red alert level are to trigger the emergency shutdown protocol, start the soot blowing system, and lock the DCS control authority.

[0119] In an optional implementation, triggering the corresponding response measures based on the prediction results in step S400 can also be done through a digital twin-driven decision-making approach. First, a holographic digital twin of the boiler is constructed. This virtual model fully and realistically reflects the boiler's physical structure and operating status. Next, real-time monitoring data is injected into this digital twin model to drive simulation operations, allowing the virtual boiler to synchronously simulate the actual boiler's operation. Based on this, various possible response measures are rehearsed in the virtual environment.

[0120] In another optional embodiment, triggering the corresponding response measures based on the prediction results in step S400 can also be achieved through an automated response mechanism based on blockchain smart contracts. Specifically, the warning threshold is written into an Ethereum smart contract, and the response measures are encoded as an executable script. The triggering mechanism stipulates that when the monitoring data meets the risk value exceeding 0.8 and the oxide scale thickness exceeds 3 mm, the contract automatically executes. The execution process includes calling the DCS interface to reduce the load, sending reward tokens to the maintenance team's wallet, and generating an immutable accident handling record. Finally, the contract is closed by obtaining the on-site verification results through an oracle.

[0121] In summary, the present invention, by understanding the distribution patterns of the magnetic and optical properties of the oxide scale on the boiler's heating surface and integrating the monitoring data of magnetic and optical sensors to construct a dynamic model, achieves high-precision, real-time measurement of the oxide scale's thickness and composition; determines the safe threshold for oxide scale growth, achieving automatic warning of over-limit; dynamically evaluates its growth kinetic parameters through real-time monitoring and analysis of the oxide scale's growth rate, providing early warning of the risk of abnormal accelerated growth; and accurately predicts the remaining life of key boiler components based on a multi-physics field coupling model and damage prediction algorithm. In other words, this method provides intelligent health diagnosis for the safe operation of the boiler, effectively prevents pipe burst accidents caused by oxide scale shedding, ensures stable operation of the unit, reduces equipment maintenance costs, and improves overall operating efficiency.

[0122] Example 3. The above is a schematic scheme of a method for magnetic and optical monitoring of oxide scale. It should be noted that the technical scheme of this system for magnetic and optical monitoring of oxide scale is based on the same concept as the technical scheme of the aforementioned method for magnetic and optical monitoring of oxide scale. For details not described in detail in the technical scheme of the system for magnetic and optical monitoring of oxide scale in this example, please refer to the description of the technical scheme of the aforementioned method for magnetic and optical monitoring of oxide scale.

[0123] This embodiment also provides an oxide scale magnetic and optical monitoring system, comprising:

[0124] A first acquisition module, configured to acquire first data in real time through a magnetic sensor array;

[0125] A second acquisition module, configured to acquire second data through an optical sensor array;

[0126] An output module, configured to perform calculation and analysis based on the first data and the second data, and output a prediction result;

[0127] The response module is used to trigger corresponding response measures based on the prediction results.

[0128] This embodiment also provides an electronic device suitable for the case of magnetic and optical monitoring of oxide scale, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the method for magnetic and optical monitoring of oxide scale proposed in the above embodiment.

[0129] This embodiment further provides a storage medium having a computer program stored thereon. When the program is executed by a processor, the method for realizing magnetic and optical monitoring of oxide scale proposed in the above embodiment is implemented.

[0130] The storage medium proposed in this embodiment and the method for realizing magnetic and optical monitoring of oxide scale proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0131] Through the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented with the help of software and necessary general hardware, and of course can also be implemented by hardware. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0132] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for magnetic and optical monitoring of oxide scale, characterized in that: include, collecting first data in real time through a magnetic sensor array; acquiring second data through the optical sensor array; Performing calculation and analysis based on the first data and the second data, and outputting a prediction result; According to the prediction results, corresponding response measures are triggered.

2. The method for magnetic and optical monitoring of oxide scale according to claim 1, wherein: The real-time collection of first data by the magnetic sensor array includes: The magnetic sensor array is arranged at the first key position of the boiler heating surface; The original magnetic field intensity and magnetic field gradient are acquired through the magnetic sensor array, and a Hall sensor is integrated to provide a temperature compensation signal.

3. The method for magnetic and optical monitoring of oxide scale according to claim 2, wherein: The acquiring of the second data by the optical sensor array includes: placing the optical sensor array at a second key position; emitting light of a target wavelength through a first device and measuring reflectivity R3 and R5; Extracting the Fe3O4 / Fe2O3 component peak height ratio by a second device; The surface topography index is calculated by a third device.

4. The method for magnetic and optical monitoring of oxide scale according to claim 3, wherein: The performing calculation and analysis based on the first data and the second data and outputting a prediction result includes: Preprocessing the first data and the second data to obtain target data; Calculating the oxide scale thickness based on the target data; A risk index is calculated based on the thickness of the oxide scale.

5. The method for magnetic and optical monitoring of oxide scale according to claim 4, characterized in that: The method further comprises, Predicting the growth rate of the oxide scale based on the target data and outputting a target prediction result; When the target prediction result is less than a preset threshold, a pipe section replacement instruction is generated.

6. The method for magnetic and optical monitoring of oxide scale according to claim 5, characterized in that: The first key positions include the reheater elbow, the fire side of the water wall and the root and top of the platen superheater fin; The second key positions include the back-fire side of the water-cooled wall, the gap between the superheater tube bundles and the economizer outlet shaft.

7. The method for magnetic and optical monitoring of oxide scale according to claim 6, characterized in that: The first device is a dual-wavelength infrared reflectometer; the second device is a laser-induced breakdown spectrometer; and the third device is a rotary scanning microscopic imaging unit.

8. A magnetic and optical monitoring system for oxide scale, using the method according to any one of claims 1 to 7, characterized in that: include: A first acquisition module, configured to acquire first data in real time through a magnetic sensor array; A second acquisition module, configured to acquire second data through an optical sensor array; An output module, configured to perform calculation and analysis based on the first data and the second data, and output a prediction result; The response module is used to trigger corresponding response measures according to the prediction results.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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