A boiler sidewall high temperature corrosion inhibition system and method

Abstract

The embodiment of the present application provides a kind of boiler side wall high temperature corrosion inhibition system and method, comprising: boiler side wall water-cooled wall, and the fire face is provided with the corrosion-resistant coating containing buffer layer, sealing layer and airflow guide structure;Arranged in the wall wind component of boiler side wall water-cooled wall;Smoke sampling component is set in near wall area;State perception network is embedded in the interior of corrosion-resistant coating;Edge computing unit is respectively connected with wall wind component, smoke sampling component and state perception network, corrosion risk index is calculated based on flue gas concentration data and state perception data and control parameter is generated to adjust wall wind component output air volume.The present application realizes the deep coupling of passive corrosion protection and active air film intervention, dynamically and accurately adjusts air volume through edge side real-time decision, and effectively inhibits side wall high temperature corrosion.

Description

Technical Field

[0001] This invention relates to the field of boiler combustion and protection technology, specifically to a boiler sidewall high-temperature corrosion inhibition system and method. Background Technology

[0002] In the process of adopting low-NOx combustion technology in large coal-fired boilers, the main combustion zone of the furnace is usually in a reducing atmosphere, causing sulfur in the pulverized coal to be reduced to corrosive gases such as hydrogen sulfide. Due to the airflow adhering to the wall, a high-temperature, high-concentration reducing corrosive environment easily forms near the water-cooled sidewalls of the boiler, triggering severe high-temperature sulfide corrosion. Current technologies for preventing high-temperature corrosion of the sidewalls mainly include passive protection by spraying corrosion-resistant coatings onto the water-cooled wall surface, or active intervention by adding a wall-adhering air system. However, existing corrosion-resistant coatings are prone to micro-cracks or peeling under long-term high-temperature thermal shock, and lack real-time sensing capabilities for the internal health status of the coating. Simultaneously, existing wall-adhering air systems mostly employ fixed-value control or simple feedback adjustment, failing to provide precise, multi-level airflow distribution based on the dynamic changes in the corrosive atmosphere near the wall and the actual state of the coating. This disconnect between passive protection and active intervention, along with the lag in sensing and control, results in poor protection against high-temperature corrosion of the sidewalls, making it difficult to adapt to the complex and ever-changing furnace conditions. Summary of the Invention

[0003] The present invention aims to at least solve one of the technical problems existing in the prior art, and provides a boiler sidewall high-temperature corrosion inhibition system and method.

[0004] In a first aspect, embodiments of the present invention provide a high-temperature corrosion suppression system for boiler sidewalls, comprising: The boiler sidewall water-cooled wall has a corrosion-resistant coating on its fire-facing surface. The corrosion-resistant coating includes a buffer layer, a sealing layer, and an airflow guiding structure. The wall-mounted air assembly is arranged on the water-cooled sidewall of the boiler. A flue gas sampling component is disposed in the near-wall area of ​​the water-cooled sidewall of the boiler. A state-aware network is embedded within the corrosion-resistant coating; The edge computing unit is communicatively connected to the wall-mounted air assembly, the flue gas sampling assembly, and the state-aware network, respectively. The edge computing unit is configured to: calculate the corrosion risk index of each region of the boiler sidewall water-cooled wall based on the flue gas concentration data collected by the flue gas sampling component and the state perception data collected by the state perception network, and generate control parameters based on the corrosion risk index to adjust the output air volume of the wall-mounted air component.

[0005] Optionally, the buffer layer has a porous structure, the sealing layer has a dense structure, and the airflow guiding structure is a guide groove disposed on the surface of the sealing layer.

[0006] Optionally, the buffer layer is a porous ceramic buffer layer, the sealing layer is a silicon carbide sealing layer, and the guiding groove is a V-shaped guiding groove. Multiple V-shaped guiding grooves are continuously arranged along the surface of the silicon carbide sealing layer to guide the wall-mounted airflow to form a longitudinal vortex.

[0007] Optionally, the state-aware network is a distributed optical fiber sensor network, and the edge computing unit integrates an optical fiber signal demodulation module. The distributed optical fiber sensor network is connected to the optical fiber signal demodulation module via an optical cable to transmit the sensed strain and temperature information to the edge computing unit.

[0008] Optionally, the distributed optical fiber sensor network includes multiple horizontal branches and a trunk line. The multiple horizontal branches are laid in parallel inside the corrosion-resistant coating. Multiple sensor nodes are distributed at intervals on each horizontal branch. One end of the multiple horizontal branches is connected to the trunk line. The trunk line extends to the outside of the corrosion-resistant coating to form the optical cable.

[0009] Optionally, the edge computing unit is configured as follows: The flue gas concentration data and the state sensing data are acquired and combined with boiler operating condition data for data fusion processing to form a multi-source sensing dataset. Based on the preset risk assessment model and the multi-source sensing dataset, the corrosion risk index of each region of the boiler sidewall water-cooled wall is calculated. In response to the corrosion risk index exceeding a preset safety threshold, the control parameters are generated based on a preset optimization strategy.

[0010] Optionally, the wall-mounted air assembly includes multiple wall-mounted air nozzles arranged in layers along the height direction of the water-cooled wall of the boiler side wall. A connecting pipe is fixedly installed at the outer end of each wall-mounted air nozzle, and an electric regulating valve is installed on each connecting pipe. The ends of the multiple connecting pipes away from the wall-mounted air nozzles are connected to a common wall-mounted air main pipe. The edge computing unit is configured to send control commands to the electric regulating valve and receive status feedback from the electric regulating valve to form a closed-loop control.

[0011] Optionally, the flue gas sampling assembly includes sampling probes spanning both sides of the water-cooled wall of the boiler sidewall. The sampling probes are connected to the gas analysis module in the edge computing unit via a heat-traced sampling pipeline. The gas analysis module is configured to analyze the concentration of corrosive gases in the flue gas and output the flue gas concentration data.

[0012] Optionally, the edge computing unit is configured to: independently adjust the electric regulating valves corresponding to the wall-mounted air nozzles of each layer according to the distribution of the corrosion risk index in different height areas of the boiler sidewall water-cooled wall, so that the output air volume of the wall-mounted air nozzles corresponding to the high-risk areas is greater than the output air volume of the low-risk areas.

[0013] Secondly, embodiments of the present invention provide a method for inhibiting high-temperature corrosion of boiler sidewalls, applied to the boiler sidewall high-temperature corrosion inhibition system described above, comprising: Acquire state sensing data inside the corrosion-resistant coating and flue gas concentration data in the near-wall region of the boiler sidewall water-cooled wall; Based on the state perception data and the flue gas concentration data, data fusion processing is performed to calculate the corrosion risk index of each region of the boiler sidewall water-cooled wall. In response to the corrosion risk index exceeding a preset safety threshold, control parameters are generated; The output air volume of the wall-mounted air assembly is adjusted based on the control parameters to form an oxidizing gas film on the surface of the water-cooled wall of the boiler sidewall.

[0014] The boiler sidewall high-temperature corrosion suppression system and method of this invention, by embedding a state-sensing network inside the corrosion-resistant coating, can directly acquire the stress and temperature distribution state inside the coating. This overcomes the shortcomings of traditional external monitoring methods that cannot detect the initiation of microcracks and thermal stress concentration inside the coating, and realizes early warning of the coating's health status. Simultaneously, the edge computing unit fuses the coating's internal state-sensing data with near-wall flue gas concentration data to construct a multi-source sensing dataset reflecting the real corrosion environment. Based on this, it calculates the corrosion risk index for each region and dynamically generates control parameters to adjust the output airflow of the wall-mounted air assembly. This mechanism achieves deep coupling between passive anti-corrosion structure and active gas film intervention. On the one hand, it utilizes the buffer layer in the corrosion-resistant coating to absorb thermal stress and prevent brittle fracture, and uses the sealing layer and airflow guiding structure to enhance gas film adhesion and physical barrier. On the other hand, through real-time decision-making and closed-loop control at the edge, the wall-mounted airflow can be finely and multi-levelly allocated according to the spatiotemporal distribution of local corrosion risk, forming a stable oxidizing gas film on the sidewall surface. This eliminates high-temperature sulfidation corrosion conditions at the source, significantly improving the intelligence level and long-term reliability of boiler sidewall corrosion protection. Attached Figure Description

[0015] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the overall structure of the boiler sidewall high-temperature corrosion inhibition system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the layered structure of the corrosion-resistant coating according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the distributed optical fiber sensor network layout according to an embodiment of the present invention; Figure 4 This is a partial structural diagram of the silicon carbide sealing layer and V-shaped flow channel according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the wall-mounted air assembly and flue gas sampling structure according to an embodiment of the present invention; Figure 6 This is a diagram of the internal module connection architecture of the edge computing unit according to an embodiment of the present invention; Figure 7 This is an intelligent early warning and control logic diagram of an embodiment of the present invention.

[0017] Among them, 1-boiler sidewall water-cooled wall, 101-water-cooled wall tube, 2-edge computing unit, 201-gas analysis module, 202-fiber optic signal demodulation module, 203-intelligent control unit, 3-corrosion resistant coating, 301-porous ceramic buffer layer, 302-silicon carbide sealing layer, 303-V-shaped guide groove, 4-wall-adhering air assembly, 401-wall-adhering air nozzle, 402-connecting pipe, 403-electric regulating valve, 404-wall-adhering air main pipe, 5-flue gas sampling assembly, 501-heat tracing sampling pipeline, 6-state sensing network, 601-optical cable. Detailed Implementation

[0018] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0019] Unless otherwise specifically stated, the technical or scientific terms used in the embodiments of this invention should be understood in their ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains. The terms "comprising" or "including," as used in the embodiments of this invention, do not limit the shapes, numbers, steps, actions, operations, components, elements, and / or groups thereof mentioned, nor do they exclude the appearance or addition of one or more other different shapes, numbers, steps, actions, operations, components, elements, and / or groups thereof, or the inclusion of these.

[0020] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of the invention. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale, and techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail; however, where appropriate, the illustrated techniques, methods, and apparatus should be considered part of the specification. In all the examples shown and discussed herein, any other specific example may have different values. It should be noted that similar symbols and letters in the following figures denote similar items; therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0021] In the description of the embodiments of the present invention, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In the embodiments of the present invention, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in the embodiments of the present invention, as well as the features of different embodiments or examples.

[0022] Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments of the present invention. It should be understood that the present invention is not limited to the exemplary embodiments described herein.

[0023] like Figure 1 As shown, this embodiment of the invention provides a boiler sidewall high-temperature corrosion suppression system. This system constructs a coupled architecture integrating embedded state awareness, edge computing fusion, and dynamic air distribution execution. Specifically, the system includes a boiler sidewall water-cooled wall 1, a wall-mounted air assembly 4, a flue gas sampling assembly 5, a state awareness network 6, and an edge computing unit 2.

[0024] The boiler sidewall water-cooled wall 1 has a corrosion-resistant coating 3 on its fire-facing surface. This corrosion-resistant coating 3 includes a buffer layer, a sealing layer, and an airflow guiding structure. In this embodiment, the buffer layer, sealing layer, and airflow guiding structure constitute a multi-level physical protection system. The buffer layer is mainly used to absorb thermal stress caused by temperature changes, the sealing layer is used to block the penetration of corrosive media, and the airflow guiding structure is used to optimize the flow characteristics of airflow near the wall surface. It should be understood that although specific materials and shapes of these layers will be illustrated later in this embodiment, in the conception of this invention, any composite coating structure that has stress buffering, media blocking, and airflow guiding functions falls within this scope and should not be limited to a specific material system.

[0025] The state-sensing network 6 is embedded within the corrosion-resistant coating 3. This spatial arrangement is a crucial foundation for the early warning capabilities of this invention. Specifically, "embedded" means that the state-sensing network 6 is encased within the interlayer or substrate of the corrosion-resistant coating 3, rather than simply pasted or mounted on the coating surface. This arrangement allows the state-sensing network 6 to directly sense the accumulation of microscopic strain and temperature gradient changes within the coating, thereby capturing signals of damage initiation before macroscopic peeling or failure occurs. In contrast, if a surface-mount method is used, the sensor is not only prone to failure under high-temperature erosion and dust accumulation environments, but it can only reflect the surface condition and cannot obtain the internal stress information that determines the coating's lifespan. Therefore, the embedded layout is a necessary physical prerequisite for realizing the transformation from "reactive maintenance" to "predictive maintenance."

[0026] The wall-mounted air intake assembly 4 is arranged on the water-cooled wall 1 of the boiler sidewall to supplement the near-wall area with an oxidizing atmosphere; the flue gas sampling assembly 5 is set in the near-wall area of ​​the water-cooled wall 1 of the boiler sidewall to collect flue gas composition data in real time. These two components constitute the active intervention execution end and the environmental perception chemical end, respectively, together with the aforementioned physical protection end, to form a complete corrosion prevention system.

[0027] Edge computing unit 2 is communicatively connected to wall-mounted air intake assembly 4, flue gas sampling assembly 5, and state-aware network 6, respectively. Figure 1 In the architecture shown, edge computing unit 2 acts as the intelligent hub of the system, aggregating sensing data from different dimensions through wired or wireless communication links. For example, edge computing unit 2 can receive strain and temperature distribution data transmitted by state sensing network 6 via optical fiber, obtain corrosive gas concentration data collected by flue gas sampling component 5 through heat tracing sampling pipelines and analysis modules, and interact with the power plant's distributed control system (DCS) to obtain operating condition data such as boiler load and total air volume. This local aggregation of multi-source data avoids the latency caused by uploading massive amounts of raw data to the cloud, providing the computing power and data foundation for millisecond-level closed-loop control.

[0028] Furthermore, the edge computing unit 2 is configured to: calculate the corrosion risk index of each region of the boiler sidewall water-cooled wall 1 based on the flue gas concentration data collected by the flue gas sampling component 5 and the state perception data collected by the state perception network 6, and generate control parameters based on the corrosion risk index to adjust the output air volume of the wall-mounted air assembly 4. Specifically, this functional configuration embodies a dynamic coupling mechanism of "perception-decision-execution". The edge computing unit does not simply trigger an alarm based on a single threshold, but rather fuses and analyzes the flue gas concentration data characterizing the intensity of environmental erosion with the coating perception data characterizing its own health status to quantify a "corrosion risk index" that comprehensively reflects the current urgency of corrosion. Subsequently, the system automatically generates targeted control parameters (such as the target opening or flow rate setpoint of each layer of wall-mounted air) based on the spatiotemporal distribution characteristics of this index, driving the wall-mounted air assembly 4 to output a matching air volume, forming a dynamically optimized oxidizing gas film on the water-cooled wall surface. This mechanism ensures that the anti-corrosion measures can accurately address the corrosion threat in local high-risk areas while avoiding the impact on boiler combustion efficiency due to excessive air distribution, achieving a balance between safety and economy.

[0029] In one implementation method, the buffer layer is a porous structure, the sealing layer is a dense structure, and the airflow guiding structure is a guide groove on the surface of the sealing layer. Specifically, this three-layer synergistic design of "porous-dense-groove" is proposed based on the multi-physics coupling characteristics under extreme operating conditions of the boiler sidewall. Among them, the porous structure on the inner side uses its internal micropores as a buffer cavity for thermal stress release. When the water-cooled wall tube 101 undergoes severe thermal expansion due to boiler start-up, shutdown, or load changes, the porous structure can absorb the shear stress at the interface through micro-deformation, effectively preventing the coating from brittle cracking or overall peeling due to thermal shock. The dense structure on the outer side constitutes a physical barrier, blocking the path of corrosive gases such as H2S to penetrate into the base metal due to its low porosity and high chemical stability. The guide groove on the surface of the dense structure optimizes the flow pattern of the airflow near the wall from an aerodynamic perspective, enhances the adhesion of the wall-mounted air film to the wall surface, and avoids the airflow separation phenomenon that is easily caused by smooth surfaces. It should be understood that although this embodiment will be described using specific materials and shapes as examples, any composite layered structure that has the above-mentioned stress buffering, medium barrier and airflow guiding functions falls within the protection scope of this invention.

[0030] In a preferred embodiment, the buffer layer is a porous ceramic buffer layer 301, the sealing layer is a silicon carbide sealing layer 302, and the guiding grooves are V-shaped guiding grooves 303. Multiple V-shaped guiding grooves 303 are continuously arranged along the surface of the silicon carbide sealing layer 302 to guide the wall-mounted airflow to form a longitudinal vortex. Combined with... Figure 2 and Figure 4As shown, the porous ceramic buffer layer 301 is typically sintered from alumina or zirconia-based ceramic materials. Its interconnected or closed micropores not only provide excellent thermal insulation and reduce the substrate temperature, but also impart a certain elastic modulus gradient, making it an ideal transition layer connecting the metal substrate and the hard sealing layer. The silicon carbide sealing layer 302 utilizes the extremely high hardness, wear resistance, and high-temperature oxidation resistance of silicon carbide to resist the erosion and wear of high-speed coal powder particles in the furnace and the chemical corrosion of the reducing atmosphere. Based on this, the introduction of V-shaped guide grooves 303 is a key microscopic feature for achieving active corrosion protection and enhanced efficiency in this embodiment. When the wall-mounted airflow sweeps across the surface of the silicon carbide sealing layer 302, the continuously arranged V-shaped guide grooves 303 force the airflow to rotate within the grooves, forming a series of stable longitudinal vortex structures. This longitudinal vortex acts like countless miniature "pneumatic suction cups," significantly increasing the momentum exchange efficiency between the airflow and the wall surface. This allows the oxidizing gas film to adhere more tightly to the uneven coating surface, making boundary layer separation less likely even at high flue gas velocities. Simultaneously, the vortex's entrainment effect promptly removes unburned coal particles attempting to deposit on the wall surface, reducing mechanical wear caused by particle impact and thus significantly extending the service life of the corrosion-resistant coating 3.

[0031] Regarding the specific geometric parameters of the V-shaped guide channel 303, its opening angle and depth directly determine the balance between the intensity of the longitudinal vortex and the flow resistance. Generally speaking, a smaller V-angle (e.g., 30° to 60°) is beneficial for generating stronger swirling intensity and better film adhesion, but it may also increase flow resistance and exacerbate local wear at the bottom of the channel; a larger V-angle (e.g., 90° to 120°) has lower flow resistance, but its guiding and stabilizing effect on airflow is relatively weaker. In practical engineering applications, the optimal combination of channel parameters can be determined through numerical simulation or experimentation based on factors such as the specific wall-mounted wind speed, pulverized coal concentration, and expected coating life of the boiler. Furthermore, although the V-shaped guide channel 303 is preferably used in this embodiment, in other embodiments, the guide channel can also adopt a U-shaped channel, a wavy channel, a trapezoidal channel, or other cross-sectional shapes that can induce directional swirling of airflow near the wall. For example, the U-shaped channel has a relatively simple manufacturing process and less stress concentration at the bottom, making it suitable for applications requiring extremely high wear resistance but slightly lower requirements for air film adhesion. The wavy channel provides a smoother airflow transition and reduces turbulent noise. However, comprehensive comparative experiments show that under typical boiler sidewall-adhering airflow conditions, the V-shaped guide channel 303 exhibits the best overall performance in maintaining air film stability, resisting lateral airflow interference, and promoting H2S oxidation. Therefore, it is the recommended embodiment of this invention. It should be emphasized that regardless of the specific channel type used, as long as it can guide the adhering airflow to form a near-wall flow field structure conducive to corrosion protection, it should be considered an equivalent replacement for the technical solution of this invention.

[0032] As one implementation method, the state-aware network is a distributed fiber optic sensor network. The edge computing unit integrates a fiber optic signal demodulation module. The distributed fiber optic sensor network is connected to the fiber optic signal demodulation module via optical cables to transmit the sensed strain and temperature information to the edge computing unit. Specifically, combined with... Figure 3 and Figure 6 As shown, the distributed optical fiber sensor network, acting as the nerve endings of the system, uses high-temperature resistant special optical fiber as its core sensing element. This optical fiber itself serves as both a sensor and a transmission medium. Figure 6 Inside the edge computing unit 2 shown, the fiber optic signal demodulation module 202 is responsible for transmitting probe light pulses to the distributed fiber optic sensor network and receiving backscattered light signals carrying environmental information. By analyzing the frequency shift or intensity change of the scattered light, the fiber optic signal demodulation module 202 can calculate the strain and temperature values ​​at any location along the fiber optic cable and convert these analog or digital signals into state-aware data that the edge computing unit can process. It should be understood that although this embodiment uses the fiber optic signal demodulation module 202 as an example, in other embodiments, the fiber optic signal demodulation module can also be an integrated board, an embedded demodulation chip, or other devices with optical time-domain reflectometry (OTDR), Brillouin optical frequency domain analysis (BOFDA), or Raman scattering demodulation functions, as long as it can achieve the conversion from optical signals to strain / temperature data. This fiber optic-based distributed sensing technology has significant advantages over traditional point thermocouples or strain gauges, such as resistance to electromagnetic interference, corrosion resistance, long measurement distance, and no need to place electronic devices inside the furnace, making it particularly suitable for harsh industrial environments such as boiler sidewalls.

[0033] Furthermore, to ensure spatial coverage and accuracy, the distributed fiber optic sensor network includes multiple horizontal branches and a trunk line. The horizontal branches are laid parallel within the corrosion-resistant coating, with multiple sensor nodes spaced apart on each branch. One end of each horizontal branch connects to the trunk line, which extends to the outside of the corrosion-resistant coating to form an optical cable. Combined with... Figure 3As shown, this "multi-branch convergence" topology is the physical basis for realizing continuous field reconstruction along the height direction of the water-cooled wall. Specifically, multiple horizontal branches are arranged in layers along the height direction of the boiler sidewall water-cooled wall 1. For example, a horizontal branch can be set at certain heights (such as 0.5 meters to 2 meters), and each branch laterally spans the width direction of the water-cooled wall. This layout allows the system to obtain discrete but dense spatial sampling points in the vertical direction, while achieving full coverage in the horizontal direction through the continuity of the optical fiber itself. The sensing nodes on each horizontal branch are not independent physical devices, but are composed of sensitive segments formed by the optical fiber itself at specific locations, with spatial resolution reaching the centimeter or even millimeter level. All horizontal branches eventually converge to a main line, which serves as a data collection channel, passing through the edge area of ​​the corrosion-resistant coating 3 and leading out to the external environment, forming an optical cable 601 and connecting to the edge computing unit. Through this topology, the edge computing unit can stitch together massive amounts of sensing data from different heights and horizontal positions into a complete two-dimensional or three-dimensional coating state thermal map, thereby accurately locating stress concentration areas or hot spot areas.

[0034] It is particularly important to emphasize that the key difference between this embodiment and existing technologies lies in the specific location of the distributed optical fiber sensor network, which is "laid inside the corrosion-resistant coating." If traditional surface-mounted or embedded methods are used, the sensors are directly exposed to the high-temperature flue gas, ash accumulation, and coal particle abrasion, making them highly susceptible to mechanical damage or signal drift, leading to monitoring failure. More importantly, surface sensors can only reflect the temperature or strain of the coating's outer surface and cannot capture the internal interface stress accumulation and microcrack initiation processes that determine the coating's lifespan. In contrast, embedding the optical fiber network inside the corrosion-resistant coating 3 (e.g., between the buffer layer and the sealing layer, or pre-embedded in the buffer layer substrate) utilizes the coating itself as a natural protective barrier, isolating it from direct corrosion by the harsh external environment and significantly extending the sensor's lifespan. Furthermore, the embedding location is close to the interface between the metal substrate and the coating, allowing for the most direct and accurate perception of shear stress and peeling trends caused by thermal expansion coefficient mismatch, thus providing early warning weeks or even months before macroscopic peeling occurs. This "in-situ embedding" design concept transforms the state-aware network from an external monitoring accessory into an integral functional component of the corrosion-resistant structure itself.

[0035] Furthermore, this invention is not limited to the distribution density of sensor nodes and the branch arrangement. Figure 3The horizontal branches are arranged in parallel at equal intervals, as shown in the diagram. In practical engineering, a non-uniform arrangement strategy can be adopted based on the historical corrosion patterns of the boiler sidewalls or the characteristics of the heat load distribution. For example, in the burner area or known high corrosion risk areas, the density of horizontal branches can be increased or the spacing of sensor nodes can be shortened to improve local monitoring accuracy; while in low-load areas, they can be arranged more sparsely to reduce costs. Furthermore, the direction of the horizontal branches is not limited to strictly straight horizontal lines; they can also be laid in a wavy, obliquely intersecting, or grid pattern depending on the arrangement of the water-cooled wall tubes, as long as the effective coverage of the optical fiber within the coating is ensured without causing excessive bending loss. These variations all fall within the protection scope of the technical solution of this invention and are designed to adapt to the differentiated needs of different boiler types and operating conditions.

[0036] As one implementation method, the edge computing unit is configured to: acquire flue gas concentration data and status sensing data, and perform data fusion processing in conjunction with boiler operating condition data to form a multi-source sensing dataset; calculate the corrosion risk index of each region of the boiler sidewall water-cooled wall based on a preset risk assessment model and the multi-source sensing dataset; and generate control parameters based on a preset optimization strategy in response to the corrosion risk index exceeding a preset safety threshold. Specifically, combined with... Figure 7 The intelligent early warning and control logic shown transforms the abstract "intelligent decision-making" into an executable, time-series processing flow. During execution, the edge computing unit first acquires near-wall flue gas concentration data and internal state perception data of the corrosion-resistant coating 3 through its integrated gas analysis module and fiber optic signal demodulation module. Simultaneously, it synchronizes real-time operating condition data such as boiler load, total air volume, and coal quality characteristics from the power plant's distributed control system. Due to significant differences in sampling frequency, transmission delay, and physical dimensions among these three types of data, the edge computing unit performs timestamp alignment and preprocessing. It then stitches together multi-dimensional features of the chemical erosion intensity (flue gas concentration), physical protection status (coating stress / temperature), and external disturbance conditions (boiler operating conditions) at the same moment to construct a "multi-source perception dataset" that accurately reflects the current corrosion environment of the furnace sidewall. This fusion processing mechanism overcomes the limitations of traditional technologies that rely solely on a single flue gas or wall temperature indicator for judgment, effectively avoiding false alarms and missed alarms caused by sensor drift or operating condition fluctuations.

[0037] Based on this, the edge computing unit uses a built-in preset risk assessment model to perform inference operations on the multi-source sensing dataset, quantifying the corrosion risk index of each region of the boiler sidewall water-cooled wall. It should be understood that the "preset risk assessment model" in this invention is a higher-level concept, and its specific implementation includes, but is not limited to, support vector regression (SVR) models, backpropagation neural network models, random forest algorithms, or weighted scoring models based on expert knowledge. Regardless of the specific algorithm used, the core function of this model is to establish a nonlinear mapping relationship between "multi-source input features" and "corrosion risk level." For example, when a region simultaneously experiences increased H2S concentration, concentrated tensile stress within the coating, and the boiler is in a low-load stable combustion phase, the corrosion risk index output by the model will be significantly higher than the value when only a single abnormal signal occurs. When this index exceeds a preset safety threshold, the system determines that there is an imminent corrosion threat to the region and triggers a preset optimization strategy to generate targeted control parameters. The “preset optimization strategy” here should not be understood as a fixed lookup table logic. It can be an optimization algorithm with the objective function of minimizing the concentration of reducing atmosphere near the wall, or a control rule library based on historical best practices, which aims to generate the optimal air volume setting value that can eliminate corrosion risk without excessively interfering with combustion in the furnace.

[0038] Furthermore, to achieve precise intervention in corrosion risk, the edge computing unit is also configured to: independently adjust the electric regulating valves corresponding to the wall-mounted air nozzles at each level based on the distribution of the corrosion risk index at different heights of the boiler sidewall water-cooled wall, ensuring that the output air volume of the wall-mounted air nozzles in high-risk areas is greater than that in low-risk areas. This hierarchical differentiated control strategy is the key innovation of this invention, distinguishing it from traditional setpoint control or uniform adjustment across all levels. Specifically, combined with... Figure 5The structure of the wall-mounted air assembly 4 shown in the diagram involves the edge computing unit spatially mapping the calculated corrosion risk index along the height of the water-cooled wall to identify high-risk concentration areas (such as specific elevation areas above the burners) and low-risk areas. Subsequently, the system issues a larger opening command to the electric regulating valve 403 corresponding to the high-risk area, increasing the wall-mounted air supply to that layer to enhance the coverage thickness and penetration depth of the oxidizing gas film, ensuring sufficient neutralization of high concentrations of H2S gas. For the low-risk area, a smaller base airflow is maintained or the valve is appropriately closed to prevent excessive cold air from entering the furnace, which could lead to increased flue gas temperature or damage to the reducing atmosphere of the main combustion zone, thus balancing corrosion prevention and boiler thermal efficiency. For example, under a variable load condition, if the corrosion risk index at 3 meters from the bottom burner reaches 0.85 (high risk), while at 5 meters it is only 0.3 (low risk), the edge computing unit can automatically increase the airflow at the wall-mounted air nozzle at 3 meters to 120% of the rated value, while simultaneously reducing the airflow at 5 meters to 60% of the rated value. This dynamic adjustment mechanism of "allocation on demand and precise implementation" not only solves the energy waste problem caused by traditional uniform air distribution, but more importantly, it effectively curbs the spread of corrosion hotspots through localized enhanced intervention, achieving an optimal balance between safety and economy. It should be noted that the above-mentioned proportional relationship for airflow adjustment is only an illustrative example. In practical applications, the edge computing unit can continuously or discretely adjust the opening combinations of valves at each level according to the boiler's real-time operating conditions and the gradient changes in the corrosion risk index. As long as the differentiated principle of "large airflow in high-risk areas and small airflow in low-risk areas" is followed, it falls within the protection scope of this invention.

[0039] In one implementation, the wall-mounted air assembly includes multiple wall-mounted air nozzles arranged in layers along the height of the water-cooled wall on the boiler sidewall. A connecting pipe is fixedly installed at the outer end of each wall-mounted air nozzle, and an electric regulating valve is installed on each connecting pipe. The ends of the multiple connecting pipes furthest from the wall-mounted air nozzles are connected to a common wall-mounted air header. The edge computing unit is configured to send control commands to the electric regulating valve and receive status feedback from the electric regulating valve to form a closed-loop control. Specifically, combined with... Figure 5 and Figure 6 As shown, the wall-mounted air main duct 404 serves as the main air supply channel, arranged vertically on the outside of the boiler sidewall. The oxygen-enriched air flowing inside is distributed to the corresponding wall-mounted air nozzles 401 via connecting pipes 402 at each level. This layered, independent air supply fluid topology is the physical basis for realizing the hierarchical differentiated control strategy in Example 4. More importantly, this example constructs a complete "perception-decision-execution-feedback" closed-loop control link. In actual operation, the edge computing unit (in...) Figure 6The corresponding diagram shows that the intelligent control unit 203 within the edge computing unit 2 calculates the target air volume based on the corrosion risk index and then sends a control command containing the target opening degree or flow rate setpoint to the electric regulating valve 403 at a specific level. Simultaneously, the position sensor or encoder built into the electric regulating valve 403 collects the actual valve position status in real time and sends this status feedback signal back to the edge computing unit. This two-way communication mechanism solves the problem of "command in place but air volume not in place" caused by valve mechanical jamming, loose connecting rods, or changes in ash resistance inside the furnace in traditional open-loop control. For example, when the edge computing unit issues a command to open the valve, if no corresponding valve position feedback change is received within a specified time, or if the deviation between the feedback value and the command value exceeds the allowable range, the system can determine that there is a fault or abnormality in the execution branch, thereby triggering an alarm or automatically switching to an adjacent level for compensation adjustment. This ensures that the oxidizing gas film can always accurately cover high-risk areas according to the preset strategy, avoiding blind spots in corrosion protection due to actuator failure.

[0040] In one implementation, the flue gas sampling assembly includes sampling probes spanning both sides of the water-cooled wall of the boiler sidewall. The sampling probes are connected to a gas analysis module within the edge computing unit via heated sampling pipelines. The gas analysis module is configured to analyze the concentration of corrosive gases in the flue gas and output flue gas concentration data. Combined with... Figure 5 As shown, the sampling probe of the flue gas sampling component 5 horizontally passes through the water-cooled wall 1 of the boiler sidewall. Its end, located inside the furnace, has multiple sampling holes facing different directions to obtain representative near-wall flue gas samples. Since boiler flue gas typically contains high concentrations of water vapor and acidic gases such as SO2 and H2S, if a normal-temperature pipeline is used for transmission, the flue gas temperature can easily drop below the acid dew point, causing moisture and acidic gases to condense into droplets and adhere to the pipe wall. This not only causes gradual blockage of the sampling pipeline and delayed response time, but also results in a significantly lower measured concentration than the true value due to some corrosive gases dissolving in the condensate, seriously misleading subsequent corrosion risk assessments. Therefore, this embodiment specifically configures a heated sampling pipeline 501, which integrates an electric heating element and a temperature control sensor. This allows the temperature to be maintained constant above the flue gas dew point (e.g., between 120°C and 180°C) throughout the transmission process, fundamentally eliminating condensation and ensuring the compositional fidelity of the flue gas sample from the collection point to the analysis point. Figure 6Inside the edge computing unit 2 shown, the gas analysis module 201 receives the flue gas sample transmitted via heat tracing. Using tunable semiconductor laser absorption spectroscopy (TDLAS) or electrochemical sensing technologies, it analyzes the volume concentrations of key gases such as H2S, CO, and O2 in real time, and outputs the high-precision flue gas concentration data to the intelligent control unit 203 for fusion processing. It should be understood that although this embodiment uses a multi-gas analysis host as an example to illustrate the specific form of the gas analysis module, in other embodiments, this module can also use a mass spectrometer, gas chromatograph, or other devices with online gas component analysis capabilities, as long as it can accurately obtain the concentration information of corrosive gases near the wall. Similarly, the heat tracing method is not limited to electric heat tracing; it can also use steam heat tracing or high-temperature flue gas self-heating, etc. The core purpose is to maintain the temperature field stability of the sampling pipeline and ensure the reliability and timeliness of the monitoring data.

[0041] This invention also provides a method for inhibiting high-temperature corrosion of boiler sidewalls. This method is applied to the high-temperature corrosion inhibition system for boiler sidewalls described in the foregoing embodiments, and achieves deep coupling between passive corrosion prevention and active intervention through dynamic execution logic. It should be understood that although this method relies on a specific hardware system for execution, its steps themselves constitute an independent control strategy protection object. Even if the hardware carrier is equivalently replaced, as long as the following timing logic is followed, it still falls within the protection scope of this invention.

[0042] Specifically, the execution flow of this method includes the following steps: Step S100 involves acquiring state-sensing data of the interior of the corrosion-resistant coating and flue gas concentration data of the near-wall region of the boiler sidewall water-cooled wall. In this step, the edge computing unit uses a fiber optic signal demodulation module to analyze the backscattered light signal transmitted back from the distributed fiber optic sensor network embedded within the corrosion-resistant coating in real time, calculating the strain and temperature field data distributed along the height of the water-cooled wall. Simultaneously, the gas analysis module receives near-wall flue gas samples transmitted via a heated sampling pipeline, analyzing the real-time concentrations of corrosive gases such as H2S and CO. The key to this step lies in the "in-situ" and "synchronous" nature of the data; that is, the state-sensing data directly originates from changes in the microstructure within the coating, rather than being inferred from the external environment, and the two types of heterogeneous data are strictly aligned at the time of acquisition, providing a high-fidelity input foundation for subsequent fusion analysis.

[0043] Step S200 involves data fusion processing based on state-sensing data and flue gas concentration data to calculate the corrosion risk index for each region of the boiler sidewall water-cooled wall. Specifically, the edge computing unit does not simply superimpose the two types of data; instead, it first aligns the timestamps and removes outliers from data from different sensors, constructing a multi-source sensing dataset that includes chemical erosion intensity, physical protection status, and boiler operating conditions. Subsequently, a pre-defined risk assessment model is used to perform inference calculations on this dataset, outputting a quantified corrosion risk index. This index is a comprehensive representation; for example, when a region simultaneously experiences excessive H2S concentration and concentrated tensile stress within the coating, its risk index will be significantly higher than the value when only a single anomaly occurs. This fusion calculation mechanism effectively overcomes the false alarm and false negative problems caused by traditional methods relying solely on single wall temperature or flue gas indicators, and can accurately identify potential corrosion hotspots.

[0044] Step S300: In response to the corrosion risk index exceeding a preset safety threshold, control parameters are generated. When the calculated corrosion risk index exceeds the safety threshold representing the safety boundary, the system determines that there is an imminent corrosion threat under the current operating condition and triggers an optimization strategy. Here, "control parameters" refer to the airflow setpoint or valve opening command calculated by a multi-objective optimization algorithm, which achieves the best balance between eliminating corrosion risk and maintaining boiler combustion efficiency. For example, the algorithm might minimize the wall-mounted airflow in the low-risk zone while ensuring complete oxidation of H2S in the high-risk zone, to avoid excessive cold air lowering the furnace temperature. This step reflects the method's shift from "passive monitoring" to "active decision-making," with the generated control parameters exhibiting dynamic adaptability to the specific current operating condition, rather than fixed empirical values.

[0045] In step S400, the output airflow of the wall-mounted air assembly is adjusted based on control parameters to form an oxidizing gas film on the surface of the boiler sidewall water-cooled wall. The edge computing unit converts the generated control parameters into specific execution commands and sends them to the corresponding level of the electric regulating valve in the wall-mounted air assembly, changing the valve opening to precisely control the injection volume of oxygen-enriched air. Guided by the guide grooves on the corrosion-resistant coating surface, the high-speed ejected oxidizing gas flow adheres closely to the wall surface, forming a stable oxidizing gas film protective layer. From a chemical reaction mechanism perspective, this gas film oxidizes the H2S gas, originally in a reducing atmosphere, into the relatively stable SO2, thereby breaking the reaction chain of high-temperature sulfide corrosion. Simultaneously, the system receives real-time status feedback from the electric regulating valve. If the actual airflow deviates from the target value, automatic compensation adjustment is performed to ensure that the coverage strength of the oxidizing gas film always meets the corrosion protection requirements. Through the above closed-loop execution process, this method achieves dynamic allocation of corrosion protection resources based on the spatiotemporal distribution of corrosion risk, ensuring the safety of the sidewall water-cooled wall while minimizing interference with the main combustion process of the boiler.

[0046] To more clearly verify the effectiveness of the technical solution of this invention in a real industrial environment, the following description uses a dynamic corrosion protection application scenario under boiler variable load conditions as an example. In this scenario, the boiler operating state rapidly decreases from full load to 50% load. This process is accompanied by drastic disturbances in the furnace temperature field, airflow field, and combustion chemical reaction rate, making it a typical condition where the risk of high-temperature corrosion of the sidewalls is easily out of control. Specifically, when the boiler load decreases, the uneven distribution of oxygen in the main combustion zone intensifies, leading to an enhanced local reducing atmosphere in the near-wall area of ​​the water-cooled wall 1 on the boiler sidewall, resulting in a sharp increase in H2S generation. At the same time, the water-cooled wall tube 101 experiences significant thermal shrinkage stress due to rapid temperature changes. If the corrosion-resistant coating 3 cannot buffer this stress in time, microcracks are easily generated at the interface. In traditional technologies, the wall-mounted air system usually uses a fixed opening or simply adjusts linearly according to the load signal, failing to detect this localized, instantaneous deterioration of the corrosive atmosphere and the accumulation of coating damage. This often results in insufficient air supply to high-risk areas and overcooling of low-risk areas, making it difficult to balance corrosion protection safety and combustion efficiency.

[0047] In the system provided by this invention, the aforementioned dynamic change process triggers a complete closed-loop control mechanism. First, the state sensing network 6 embedded within the corrosion-resistant coating 3 captures in real time an abnormal concentration trend in strain signals at a specific elevation area (e.g., 3 meters above the bottom burner), indicating that the coating in this area is experiencing significant thermal stress accumulation. Simultaneously, the flue gas sample from the near-wall surface transmitted by the flue gas sampling component 5 through the heated sampling pipeline 501 is analyzed by the gas analysis module, showing that the H2S concentration in the same area has rapidly increased from 50 ppm to over 300 ppm within minutes. The edge computing unit completes the timestamp alignment and fusion processing of these two types of heterogeneous data within a millisecond time window. Combining this with the characteristics of the low-oxygen combustion condition under the current 50% load, the corrosion risk index of this area is calculated using a preset risk assessment model, indicating that it rapidly exceeds the preset safety threshold (e.g., 0.8), accurately identifying this as a high-risk hotspot area requiring emergency intervention.

[0048] In response to the high-risk assessment, the edge computing unit immediately generates targeted control parameters based on a preset optimization strategy and issues an instruction to increase the opening of the electric regulating valve 403 connected to the wall-mounted air nozzle 401 corresponding to the high-risk area. For example, the system dynamically increases the wall-mounted air volume of this layer from 80% to 110% of the baseline value, which increases the air supply by approximately 30%. For adjacent low-risk areas, the system maintains the original air volume or appropriately reduces it to avoid excessive overall air distribution affecting the combustion stability of the furnace center. The increased oxygen-enriched airflow is guided by the V-shaped guide grooves 303 on the surface of the silicon carbide sealing layer 302, forming a high-strength longitudinal vortex air film that adheres tightly to the surface of the water-cooled wall. From a chemical reaction mechanism perspective, this reinforced oxidizing gas film provides ample oxygen molecules, rapidly oxidizing the originally high-concentration reducing H2S gas into the relatively stable SO2, thereby breaking the reaction chain of high-temperature sulfide corrosion. From a physical protection mechanism perspective, the reinforced gas film also acts as a local cooling and purging agent, slowing down the tendency of ash and slag accumulation on the coating surface and indirectly alleviating the thermal stress concentration caused by local overheating. After a period of dynamic adjustment, monitoring data showed that the H2S concentration in this high-risk area dropped to below 60 ppm, a decrease of about 80%, while the strain signal inside the coating also tended to stabilize, indicating that the corrosion threat had been effectively suppressed and the coating's health had been restored.

[0049] It should be noted that the aforementioned data, such as the increase in air volume, H2S concentration, and its decrease, are merely illustrative examples intended to help those skilled in the art understand the working mechanism and expected effects of the present invention under dynamic operating conditions, and do not constitute a limitation on the scope of protection of the present invention. In actual engineering applications, the specific adjustment range and response speed will vary depending on factors such as boiler model, coal quality characteristics, coating materials, and sensor layout. However, regardless of the specific numerical changes, the collaborative working mechanism of "embedded state perception + near-wall atmosphere monitoring + edge fusion decision-making + graded differentiated air distribution" demonstrated in this embodiment can effectively overcome the shortcomings of traditional setpoint control in response lag and blind adjustment under dynamic operating conditions such as variable load, achieving deep coupling between passive anti-corrosion structure and active gas film intervention, and significantly improving the intelligence level and long-term reliability of high-temperature corrosion protection of boiler sidewalls.

[0050] It is understood that the above embodiments are merely exemplary implementations used to illustrate the principles of the present invention, and the present invention is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and essence of the present invention, and these modifications and improvements are also considered to be within the scope of protection of the present invention.

Claims

1. A high-temperature corrosion inhibition system for boiler sidewalls, characterized in that, include: The boiler sidewall water-cooled wall has a corrosion-resistant coating on its fire-facing surface. The corrosion-resistant coating includes a buffer layer, a sealing layer, and an airflow guiding structure. The wall-mounted air assembly is arranged on the water-cooled sidewall of the boiler. A flue gas sampling component is disposed in the near-wall area of ​​the water-cooled sidewall of the boiler. A state-aware network is embedded within the corrosion-resistant coating; The edge computing unit is communicatively connected to the wall-mounted air assembly, the flue gas sampling assembly, and the state-aware network, respectively. The edge computing unit is configured to: calculate the corrosion risk index of each region of the boiler sidewall water-cooled wall based on the flue gas concentration data collected by the flue gas sampling component and the state perception data collected by the state perception network, and generate control parameters based on the corrosion risk index to adjust the output air volume of the wall-mounted air component.

2. The boiler sidewall high-temperature corrosion inhibition system according to claim 1, characterized in that, The buffer layer has a porous structure, the sealing layer has a dense structure, and the airflow guiding structure is a guide groove disposed on the surface of the sealing layer.

3. The boiler sidewall high-temperature corrosion inhibition system according to claim 2, characterized in that, The buffer layer is a porous ceramic buffer layer, the sealing layer is a silicon carbide sealing layer, and the guide groove is a V-shaped guide groove. Multiple V-shaped guide grooves are continuously arranged along the surface of the silicon carbide sealing layer to guide the wall-mounted airflow to form a longitudinal vortex.

4. The boiler sidewall high-temperature corrosion inhibition system according to claim 1, characterized in that, The state-aware network is a distributed optical fiber sensor network. The edge computing unit integrates an optical fiber signal demodulation module. The distributed optical fiber sensor network is connected to the optical fiber signal demodulation module via optical fiber cable to transmit the sensed strain and temperature information to the edge computing unit.

5. The boiler sidewall high-temperature corrosion inhibition system according to claim 4, characterized in that, The distributed optical fiber sensor network includes multiple horizontal branches and a trunk line. The multiple horizontal branches are laid in parallel inside the corrosion-resistant coating. Multiple sensor nodes are distributed at intervals on each horizontal branch. One end of the multiple horizontal branches is connected to the trunk line. The trunk line extends to the outside of the corrosion-resistant coating to form the optical cable.

6. The boiler sidewall high-temperature corrosion inhibition system according to claim 1, characterized in that, The edge computing unit is configured as follows: The flue gas concentration data and the state sensing data are acquired and combined with boiler operating condition data for data fusion processing to form a multi-source sensing dataset. Based on the preset risk assessment model and the multi-source sensing dataset, the corrosion risk index of each region of the boiler sidewall water-cooled wall is calculated. In response to the corrosion risk index exceeding a preset safety threshold, the control parameters are generated based on a preset optimization strategy.

7. The boiler sidewall high-temperature corrosion inhibition system according to claim 6, characterized in that, The wall-mounted air assembly includes multiple wall-mounted air nozzles arranged in layers along the height direction of the water-cooled wall of the boiler side wall. A connecting pipe is fixedly installed at the outer end of each wall-mounted air nozzle, and an electric regulating valve is installed on each connecting pipe. The ends of the multiple connecting pipes away from the wall-mounted air nozzles are connected to a common wall-mounted air main pipe. The edge computing unit is configured to send control commands to the electric regulating valve and receive status feedback from the electric regulating valve to form a closed-loop control.

8. The boiler sidewall high-temperature corrosion inhibition system according to claim 1, characterized in that, The flue gas sampling component includes sampling probes spanning both sides of the water-cooled wall of the boiler sidewall. The sampling probes are connected to the gas analysis module in the edge computing unit through a heat-traced sampling pipeline. The gas analysis module is configured to analyze the concentration of corrosive gases in the flue gas and output the flue gas concentration data.

9. The boiler sidewall high-temperature corrosion inhibition system according to claim 7, characterized in that, The edge computing unit is configured to: independently adjust the electric regulating valves corresponding to the wall-mounted air nozzles of each layer according to the distribution of the corrosion risk index in different height areas of the boiler sidewall water-cooled wall, so that the output air volume of the wall-mounted air nozzles corresponding to the high-risk areas is greater than the output air volume of the low-risk areas.

10. A method for inhibiting high-temperature corrosion of boiler sidewalls, applied to the boiler sidewall high-temperature corrosion inhibition system as described in any one of claims 1 to 9, characterized in that, include: Acquire state sensing data inside the corrosion-resistant coating and flue gas concentration data in the near-wall region of the boiler sidewall water-cooled wall; Based on the state perception data and the flue gas concentration data, data fusion processing is performed to calculate the corrosion risk index of each region of the boiler sidewall water-cooled wall. In response to the corrosion risk index exceeding a preset safety threshold, control parameters are generated; The output air volume of the wall-mounted air assembly is adjusted based on the control parameters to form an oxidizing gas film on the surface of the water-cooled wall of the boiler sidewall.

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